Applied Scientist Resume Samples

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U Rolfson

Uriel

Rolfson

5075 Nathanael Shores

Boston

+1 (555) 285 6299

5075 Nathanael Shores

Boston

Phone

p +1 (555) 285 6299

Experience Experience

San Francisco, CA

Applied Scientist

San Francisco, CA

Donnelly-Satterfield

San Francisco, CA

Applied Scientist

Participate in the full development cycle: design, development, impact assessment, A/B testing and results analysis, and deployment,
Manage end-to-end processes for model development and production
Working knowledge of many development languages: C++, Java, Python, detailed knowledge of some
Mentor and develop a high performing team of Machine Learning Engineers and Research Scientists
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Work along with software engineers for the model implementations and new feature creations
Work closely with software engineering and data engineering teams to drive real-time model implementations and new feature creations

Dallas, TX

Applied Scientist, Advertisting

Dallas, TX

Jaskolski-Tromp

Dallas, TX

Applied Scientist, Advertisting

Analyze and extract relevant information from large amounts of Amazon's historical business data; Then use machine learning, data mining and natural language processing techniques to create data driven models and solutions to improve business efficiencies
Work closely with software engineering teams to implement model solutions
Work closely with stakeholders to optimize various business objectives
Track general business activity and provide clear, compelling management reporting on a regular basis
Research and implement novel machine learning and data mining approaches
PhD in Computer Science, Machine Learning, Natural Language Processing, Statistics, Applied Mathematics or in another highly quantitative field
Strong working knowledge of knowledge management, data cleaning, machine learning, and analytics techniques

present

Dallas, TX

Applied Scientist, Related Accounts

Dallas, TX

Lesch-Lowe

present

Dallas, TX

Applied Scientist, Related Accounts

present

Tracking general business activity and providing clear, compelling management reporting on a regular basis
Working closely with operations staff to optimize risk management operations,
Design, development and evaluation of highly innovative models for risk management
Working closely with software engineering teams to drive real-time model implementations and new feature creations
A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field
Research and implement novel machine learning and statistical approaches
Work side by side with business operators to design the most innovative, relevant and effective methods to improve current workflows and lower overall costs

Education Education

Bachelor’s Degree in Computer Science

Michigan State University

Bachelor’s Degree in Computer Science

Skills Skills

Strong ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation
The most successful candidates will possess the ability to learn new techniques from textbooks or research papers and apply them to the business problem at hand
Great design and problem solving skills, with a strong bias for quality and engineering excellence at scale
M.S. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least two years of work experience
Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production
Analyze and extract relevant information from large amounts of Amazon's historical business data to find key features for diverse, fresh and personalized recommendations
Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment
Prototype these models by using modeling languages such as R, MATLAB, Mosel or in software languages such as Python. A software team will be working with you to transform prototypes into production
Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
Strong theory/algorithmic background and very good understanding on how to apply advanced knowledge to solve real problems

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Applied Scientist Resume Examples & Samples

Strong ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation
Strong software engineering fundamentals, including coding, problem solving and data analysis skills
Passionate and self-motivated
Ability to effectively work in collaborative multiple project team environment and ship production features in a fast-paced startup environment
Customer/end result/Metrics driven in design and development
Knowledge and experience in the areas of machine learning, information retrieval, natural language processing
Experiences in the areas of online services such as Search, Ads, Recommendation systems, are strong pluses
Software design and development experience with C++/C#/Java

Applied Scientist Resume Examples & Samples

Metric design and modeling: Given a measurement task, how to design a human based labeling task to accurately capture the essence of the measurement? How many samples do we need for a specific measurement task? How to optimize statistical power given limited survey data? How to characterize possible biases in the design?
Data quality assurance: All human make mistakes, mostly unintentionally but sometimes intentionally. How do we measure and control the data quality from a human study? How do we ensure the human labelers follow our specific judging guideline?
Data analytic: What conclusions can we draw from a specific measurement? How do we identify useful patterns and insights from the vast amount of noisy data? How can we identify opportunities to further improve our products and features?

Principal Applied Scientist Resume Examples & Samples

Strong algorithm and analytical background and very good understanding on how to apply advanced knowledge to solve real world problems
7+ experience in software design and development
Ability to drive technical investigations and prototyping in a fast-paced startup environment
Experienced in data modeling, analytics, data mining and machine learning

Applied Scientist Resume Examples & Samples

Bachelor’s degree in CS, EE or equivalent
Experiences in machine learning, data mining, information retrieval, natural language processing, graph computation, or large scale distributed computation / data processing
Experiences in the area of online services and/or search are a plus

Applied Scientist Resume Examples & Samples

MS/Ph.D. in CS/EE or related areas is required
2+ years’ experience in the areas of machine learning, information retrieval, natural language processing
2+ years’ software design and development experience with C++/C#/Java, or similar programing languages in commercial software services
Experiences in the areas of online services such as such as search, online advertisement, recommendation systems, are strong pluses

Applied Scientist / Researcher Resume Examples & Samples

M.S. / Ph.D. in Computer Science, Electronics Engineering, or other related technical fields
Strong Coding, Math, Analytical & Problem Solving skills
Familiar with basic machine learning and/or computer vision / natural language understanding algorithms
2+ years of experience in computer vision/machine learning/natural language understanding related area

Applied Scientist Resume Examples & Samples

Outstanding expertise and hands-on experience on machine learning, text analysis, data mining, and NLP
PhD degree in CS/EE or related areas is preferred
Familiarity with distributed data processing/analysis and modeling paradigm, such as Map-Reduce and MPI is a plus
Experience with GPU algorithm development is a plus

Principal Applied Scientist Resume Examples & Samples

5+ years’ knowledge and experience with machine learning and information retrieval technologies
Experiences in the areas of online services such as search, online advertisement, recommendation systems, are strong pluses
Leadership experience and skill set in both significant technology areas and complex commercial software project

Applied Scientist Resume Examples & Samples

Experience with SQL, Cosmos/Scope, or Hadoop/Hive/Pig and statistics tools (R, SAS, Python)
Software design and development experience with languages such as C++/C#/Java
Experience in gathering requirements, streamlining, designing, developing, and maintaining an automated BI pipeline
Knowledge of scaling data pipelines as the business and demand for data grows along with the volume and sources of data
Experience with data visualization techniques and tools
Speech or natural language processing background a big plus!
Passion for data-driven business impact
Ability to work independently and in a team to research innovative solutions to challenging business/technical problems
Excellent interpersonal oral and written communications skills across disciplines
Ability to establish highest levels of trust through diligently vetted and thoroughly prepared information sharing
Demonstrated experience delivering results through collaboration across disciplines, feature teams, and partners
MS or PhD in computer science or a related discipline
Minimum 5 years of related professional work experience

Applied Scientist Resume Examples & Samples

Bachelor's degree in Engineering, Computer Science or related technical field
Prior experience as a software developer
Experience in large scale data mining and big data
Experience with technologies like Hadoop, Rules based systems and Machine learning
Demonstrated project management skills across multiple stakeholders
Proficient building complex software systems that have been successfully delivered to customers
Track record for being detail-oriented with a demonstrated ability to ship multiple versions/releases
Have had responsibility for the entire life-cycle (requirements definition through specification, design, coding, quality assurance, implementation, integration, launch, and production support) of a shipping product or online service
5+ years of relevant work experience
Master’s degree or Ph.D. preferred in mathematics, computer science, or related discipline
Experience working in teams that have a strong operational focus
Experience in building and driving adoption of new tools
Experience in delivering Amazon-scale systems
An understanding of distributed and service-oriented architectures. Delivered large scale commercial enterprise software systems or large scale online services
Experience with Agile Development techniques
Excellent written and verbal communication, presentation skills and listening skills. This will include the ability to present complex technical information in a clear and concise manner to a variety of audiences, including non-technical

Applied Scientist Resume Examples & Samples

3-5 years experience with various data analysis and visualization tools
Experience with statistical modelling / machine learning
Ability to think creatively and solve problems
Fluency in a foreign language

Applied Scientist Resume Examples & Samples

MS or PhD in Computer Science, Machine Learning, Economics, Statistics, Operational Research, or a related quantitative field
3-5 years of relevant experience, including
Hands-on experience in predictive modeling and analysis
Developing and articulating thought leadership on research science area
Building products from the ground up. The role will sit at the heart of Amazon Business, and will co-lead the development of product strategy with the product managers, with a special focus on risk

Applied Scientist, Amazon Flex Resume Examples & Samples

Analyze large amounts of Amazon’s business data to discover patterns, find anomalies, build models and derive insight and business value
Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and scoring
Work closely with software engineering teams to integrate data analysis workflows in production systems
Produce compelling management reporting on a regular basis
Participate in strategic analysis and help define the roadmap for the team
Professional experience in software development (software design and development life cycle)

Applied Scientist Resume Examples & Samples

Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
Build a simulation based optimization platform to drive long-term decision making processes
Prototype these models by using modeling languages such as R, MATLAB, Mosel or in software languages such as Python. A software team will be working with you to transform prototypes into production
Gather data required for analysis and mathematical model building by writing ad-hoc scripts and database queries in a Redshift environment
Interact with software and business groups to develop an understanding of their business requirements and operational processes
MS in Operations Research, Industrial Engineering, Management Science or a related field with 3+ years of industry experience
Strong background in building mathematical models and prototyping
Strong background in stochastic and deterministic optimization techniques and simulation
The ability to implement optimization models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, MATLAB)
Fluency in a high-level modeling language such as R, SAS, MATLAB or other statistical software
Experience building, iterating, and validating predictive data models from scratch
PhD in Operations Research, Industrial Engineering or a related field with 3+ years of industry experience
Experience with large data sets, big data and analytics
Prior background in machine learning and forecasting is a plus

Applied Scientist Resume Examples & Samples

Master's degree in Computer Science or equivalent
2+ years’ experience applying Data Science
Track-record of having developed novel algorithms, (e.g. publications in one or more of the following: ACL, NAACL, EMNLP, KDD, WWW, NIPS, SIGIR, ICML etc.)

Applied Scientist Resume Examples & Samples

Proven ability and good intuition for finding meaningful and non-trivial patterns in large datasets
Ability to communicate complex technical concepts and solutions to all levels of the organization
Desire, ability and experience mentoring engineers and managers on data modeling concepts
Ph.D. in Machine Learning, Operational Research, or Statistics
Write very high quality code that is robust and easy to maintain

Applied Scientist Resume Examples & Samples

Convert statistical output into detailed documents which influence business actions
Advanced degree in computer science, computer engineering, machine learning, or mathematics
PhD-level understanding of at least one of the following (broad knowledge of multiple methods is ideal)
Supervised learning methods (linear and logistic regression, generalized linear models, decision trees, random forests, support vector machines, graphical models, neural networks / deep learning, etc.)
Unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components, etc.)
Very strong self-learning skills. Ability to pick up and adapt modeling methods from other disciplines or leverage methods from other skilled colleagues in other departments when solving problems
Comfortable with data munging (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
Strong knowledge of a statistical programming language (R, Python, etc.)
Proficient in one or more major programming language (C++, C, C#, Java, etc.)
Knowledge about implementing machine learning methods in production software environments
Industry experience fitting production-grade machine learning models
Verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams

Applied Scientist Amazon Voice Shopping Resume Examples & Samples

Proven track record of achievements in natural language processing, search and personalization
Proficiency in at least one scripting languages (e.g. Python) and one large-scale data processing platform (e.g. Hadoop, Hive, Spark)
Experience with using could technologies (e.g. S3, Dynamo DB, Elastic Search) and experience in data warehousing
Track record of peer reviewed academic publications
Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams and earn the trust of senior stakeholders

Applied Scientist, EC Spot-aws Resume Examples & Samples

Establish best practices for developing and implementing predictive analytics evaluation models
Adapt existing and invent new techniques for machine learning in the pricing, revenue & capacity management domains
Implement techniques in a highly available distributed web service
Work closely with service engineers, product managers, other applied scientists, and customers
Interview and mentor other Applied Scientists and software development engineers
File for patents, publish research work, and give internal and external presentations about a wide range of technical problems in your area of expertise
PhD or equivalent theoretical experience in Computer Science or Machine Learning
Experience with software testing of multiple predictive analytics techniques and models
Experience applying theoretical models in an applied environment
Experience in an object oriented language such as Java or C++
Experience with software engineering in a team environment
2+ years of industry or post doctoral experience
Experience with mission critical, 24x7 systems
Knowledge of data structures, algorithms, distributed systems, and asynchronous architectures
Understanding of system and application performance characteristics
Experience with one or more of: yield management, revenue optimization, dynamic pricing
Excellent communication, sharp analytical abilities and proven design skills

Applied Scientist Resume Examples & Samples

Strong technical credentials, with at least 2 years of experience working in ML, speech recognition, natural language understanding, computer visions etc
Experience conducting analyses, and developing different types of supervised and unsupervised models for complex projects
Experience with defining organizational research and development practices in an industry setting
Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams, and earn the trust and influence senior stakeholders
Experience in defining research vision and getting buy-in from senior research and business leader across the company

Applied Scientist Amazon Voice Shopping Resume Examples & Samples

Strong algorithm development experience in both supervised and unsupervised machine learning
Demonstrated ability to implement different techniques in predictive analytics, forecasting, and modeling and measurement
Knowledge of a scripting language such as Python, and related numerical computation and ML packages such as NumPy, Theano, or Keras
Passion for learning and implementing new technologies

Applied Scientist Resume Examples & Samples

2+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systems
Proficient in R, SAS, MatLab or other statistical software
Strong computer science fundamentals including data structures and algorithms
Programming expertise in languages such as Java / Scala / Python / C++
PhD in CS focused on Machine Learning, Operations Research, Statistics or other relevant area
3+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systems

Applied Scientist Resume Examples & Samples

Use statistical and machine learning techniques to create scalable risk management systems
Working closely with operations staff to optimize risk management operations,
A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field
3+ years of hands-on experience in predictive modeling and large data analysis
A PhD in CS machine learning, Statistics, Operational research or in a highly quantitative field
5+ years of industry experience in predictive modeling and large data analysis
Strong skills with Spark/Perl/Python (or similar scripting language) and Java/C++

Applied Scientist Resume Examples & Samples

PhD-level understanding of one or more of the following
2+ years of industry experience fitting production-grade machine learning models
Very strong self-learning skills. Ability to pick up and adapt modeling methods from other disciplines or leverage methods from other skilled colleagues in other departments in solving problems
Expert knowledge of a statistical programming language (R, Python, etc.)
Experience implementing machine learning methods in production software environments

Applied Scientist Resume Examples & Samples

Develop machine learning and analytical techniques for intelligent information retrieval and classification system
Work along with software engineers for the model implementations and new feature creations
Work closely with business owners and operations teams to optimize and fine tune various business operations using machine learning techniques
Mentor other engineers in the use of ML techniques
Bachelor’s/Master Degree in Computer Science with advanced degrees preferred
5+ years of hands on experience in building machine learning systems for large data sets
Strong skills in problem solving, programming and computer science fundamentals
Expertise in using Python, Java / C++, or other programming languages, as well as with R, Matlab or similar machine learning tools
MS / PhD, specialized in Information Retrieval and Machine Learning
Experience in designing and implementing information retrieval, web mining and neural network and other classification algorithms

Applied Scientist Resume Examples & Samples

PhD Degree in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics or a related field
Strong academic record of refereed publications in top tier conferences or journals
Hands-on experience in one or more of: Information Extraction, Deep Learning, Scalable Machine Learning, Semantic Parsing
Good coding skills. Experience in Python or Java is a plus
Active member of the research community
Relevant post-doc or industrial research experience is a plus

Applied Scientist Resume Examples & Samples

Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes
Work closely with software engineering teams to drive new feature creation
Work closely with stakeholders to optimize various business operations
Master's degree in Computer Science, Mathematics, Statistics, related field, or equivalent experience
1+ years of experience in software development. Experience building large platform systems
Jack of many development languages: C++, Java, Python, master in some
Experience with full development life cycle for large-scale software products including extensive experience with service oriented architectures, design patterns, web services, and web applications/services development
Experience using operations research techniques for solution optimization and continuous process improvement
Leadership experience in a team research effort, including planning, mentoring, and ownership of group outcomes

Applied Scientist Resume Examples & Samples

Ph.D. or M.S. in Computer Science, Statistics, or related field
Proficient with at least one major programming language (Java, Scala, C++, Python)
Experience with supervised and unsupervised machine learning algorithms
Strong grasp of data structures and algorithms
Cares deeply about agile software practices, data driven development, and collaborating with other researchers and engineers
Experience with big data technologies such as Hadoop, Spark, Redshift, and NoSQL
Experience implementing machine learning models at web scale
Experience with collaborative filtering and recommender systems
Strong research background with publications at major Machine Learning conferences (NIPS, ICML, KDD, AISTATS, RecSys)
Experience running and evaluating AB Tests

Applied Scientist Resume Examples & Samples

Master’s Degree in Computer science (Machine Learning, Data Mining, Statistics)
Able to formulate complex SQL queries and experience working with Business Intelligence tools
Good knowledge of scientific programming in scripting languages like R/Python/Matlab
PhD in Computer Science (Machine Learning, Data Mining, Statistics)
Extensive knowledge and practical experience in machine learning, data mining, artificial intelligence, statistics with track record of publications
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Applied Scientist Resume Examples & Samples

5+ years of hands-on experience in predictive modeling and large data analysis
3 years SAS/R/Pathon/Metlab and SQLexperience
6+ years of industry experience in predictive modeling and large data analysis
Strong skills with Spark/Perl/Pathon(or similar scripting language) and Java/C++

Applied Scientist Resume Examples & Samples

4+ years of industry experience in predictive modeling and analysis
Strong problem solving ability
Good skills with SQL
Good skills with Spark/Python/Perl (or similar)

Principal Applied Scientist Resume Examples & Samples

Ph.D in Computer Science or Language Science
Strong technical credentials, with at least 10 years of experience working in speech recognition, natural language understanding, or spoken dialog systems
Recognized as an industry leader in the fields of natural language processing or computational linguistics
Experience in organization of scientific and pedagogic events such as conferences and universities

Applied Scientist Resume Examples & Samples

Improve and accelerate technology with science, statistical modeling, algorithm design, and prototyping
Actively participate in hiring talented people and assist in the career development of others both on and outside the team, mentoring individuals and helping other managers guide the career growth of their team members
Demonstrate high levels of creativity and right judgment

Applied Scientist Resume Examples & Samples

Completing or have completed a graduate degree program in 2016-2017 (either MS or PhD) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in computer vision, deep learning, machine learning or related fields
Strong working knowledge with programming languages such as C/C++, Java, or Python (SciPy, RPy2, etc)
Research experience related to computer vision or machine learning
Demonstrated independent or collaborative contributions to popular machine learning/computer vision github projects
Published and/or presented papers at TPAMI, CVPR, ICCV, ECCV, ICML, NIPS, or similar top-tier conferences and events

Applied Scientist Resume Examples & Samples

Master's degree in Computer Science, Mathematics, Statistics, or other relevant technical field, or equivalent experience
1+ years of experience in software development
Working knowledge of many development languages: C++, Java, Python, detailed knowledge of some
Experience with full development life cycle for large-scale software products

Applied Scientist Resume Examples & Samples

Professional experience in software development
Knowledge of C/C++
Proficiency in at least one scripting languages (Perl, Python, Hadoop, Hive, etc)
Fundamentals in object-oriented design and data structures
Knowledge of parametric and/or unit selection TTS technology
Knowledge of software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Clear, professional communication skills able to contribute to team discussions

Applied Scientist Resume Examples & Samples

5 years related experience in machine learning, natural language processing, statistics and information theory preferred
5+ years C#, C/C++
BS/Masters in CS required
Strong design and implementation skills
Experience with machine learning, natural language processing, statistics and information theory, preferred
Knowledge of scripting languages a plus
Strong communication skills (both written and oral)

Applied Scientist Resume Examples & Samples

Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences
Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities
Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale
Technically lead and mentor scientists
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
3+ years of practical experience applying ML to solve complex problems
Algorithm and model development experience for large-scale applications
Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, NLP, recommendation systems, dialogue systems, information retrieval
Significant peer reviewed scientific contributions in premier journals and conferences
Proven track record of production achievements, handling gigabyte and terabyte size datasets
Experience with defining research and development practices in an applied environment

Applied Scientist, Browse Classification Resume Examples & Samples

Advanced degree in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or in another highly quantitative field
3+ years of relevant experience
Proficiency in object oriented programming in Java, Python or Scala programming in a Unix environment
Strong OO Design, Data Structures and Algorithm skills require
Ability to handle multiple competing priorities in a fast-paced environment

Applied Scientist Resume Examples & Samples

Experience designing analytic or algorithmic solutions to business or operational problems
Ability to clean, transform, and merge data in a procedural language like Python or R
Ph.D. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least two years of work experience
Strong background in big-data workflows and infrastructure implementation
Strong background in statistical methodology with applications to business problems
Experience developing software in traditional programming languages (Python, C++, Java, etc..)
Applicants with more experience, including mid-career, are also strongly encouraged to apply

Applied Scientist Resume Examples & Samples

2+ years of experience in software development. Experience building large platform systems
Solid coding practices including good design documentation, unit testing, peer code reviews
Solid understanding of A/B testing
Experience designing statistical tools targeted at non-statistical users

Applied Scientist Resume Examples & Samples

Graduate (Ph.D. preferred) degree in Computer Science, Mathematics, Electrical Engineering or equivalent
Strong background in at least one of the following areas is required: dialog systems, natural language processing, machine learning or speech recognition systems
Proficiency in C#, C/C++, Java, or Python

Applied Scientist Resume Examples & Samples

CS Degree, Statistics degree, or equivalent degree in a highly quantitative field
A strong track record of innovating through machine learning and statistical algorithms and their applications
Understanding of machine learning, data mining and data analytics techniques

Applied Scientist Resume Examples & Samples

Human-in-the-loop knowledge learning
Fact and feature extraction from product descriptions and reviews
Knowledge extraction from the Web combining Open IE and Close IE techniques
Product trend discovery from web
Large-scale collective entity resolution
Quantitative and logical error detection
Knowledge verification from external sources
Leveraging structured knowledge in deep learning
Personalization using personal knowledge base
PhD in Computer Science, Machine Learning, Data Quality, Statistics or a related quantitative field
3+ years of hands-on experience in knowledge management, data integration, data quality, NLP, or graph processing
Strong algorithm development experience and problem solving ability
Skills with Java, C++, or other programming language, as well as with Scala, MATLAB, Python or similar scripting language
Publications in top venues

Applied Scientist Emerging AWS Machine Learning Resume Examples & Samples

Bachelor’s or Ph.D degree in Computer Science or equivalent work experience
7+ years professional experience in software development of multi-threaded, scalable and highly-available distributed systems
Computer Science fundamentals in object-oriented design, data structures, high-performance computing and GPGPU programming
Computer Science fundamentals in algorithm design, complexity analysis, problem solving and diagnosis
Proficiency in, at least, one modern programming language such as Java, Python, C/C++, C#, Perl
Experience taking projects from scoping requirements through V1 launch and V2 iterations
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with highly distributed, multi-tenet systems with clear state-full/state-less boundaries
Experience with experimentation and statistics
Experience with machine learning, data mining, and/or statistical analysis tools such as R, Numpy and MATLAB/Octave

Applied Scientist, Related Accounts Resume Examples & Samples

5+ years SAS, R or Matlab experience
A PhD in CS, machine learning, Statistics, Operational research
5+ years of industry experience in predictive modeling and analysis

Applied Scientist, Computer Vision Resume Examples & Samples

1+ years of relevant, applied science or broad operations research in computer vision with machine learning
Experience developing computer vision algorithms and/or software in C++ or Python for commercial or industrial applications
Distributed systems programming experience
3+ years of industry experience in predictive modeling and big data analysis
Hands on experience in building DNN, CNN, LSTM model and using commercial framework like TensorFlow/Caffe

Applied Scientist Resume Examples & Samples

A MS in computer science, mathematics, operations research, or a related field; or a BS and equivalent experience
At least one year’s additional experience developing quantitative algorithms that have shipped in production software, including
An ability to communicate ideas effectively, to listen to others’ ideas, and to collaborate to arrive at great solutions, including effective written and oral communication skills

Applied Scientist Resume Examples & Samples

MS or PhD in CS, Applied Math, Statistics, or a related field
8+ years of hands on experience working on applied machine learning projects
An attitude to continuously innovate and never satisfied with status quo
Proficiency with a production language such as C++ or Java
Ability to innovate in ML and a track record of publications
8+ years of experience working on applied machine learning projects

Applied Scientist Resume Examples & Samples

Process and analyze sales data; gather additional data sources that would improve model accuracy
Analyze price elasticity on promotions and develop algorithms to optimize promotional budgets
Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production
Create, enhance, and maintain technical documentation, and present to other scientists and business leaders
PhD in Machine Learning, Statistics, Applied Mathematics or a related quantitative field and 1+ years of industry experience, or a Master’s degree in the related fields with 2+ years of industry experience
3+ years experience building, iterating and validating statistical models
Strong working knowledge of knowledge management, data cleaning, machine learning, and analytics techniques
Fluency in R, Python or a similar modeling language and in SQL
Proficiency in at least one modern programming language such as Java or C++
Strong verbal and written communication, influencing and partnership skills
Working knowledge of visualization tools (e.g. Tableau, Shiny, D3)

Principal Applied Scientist Resume Examples & Samples

MD or PhD in related area, or equivalent expertise or experience
5+ years of professional experience developing product level algorithms and code
5 years minimum experience of Expertise in applying machine learning and data mining methods
Excellent problem solving and data analysis skills. Effective communication skills, both verbal and written
Clinical experience is optional but strongly desired. Experience with machine learning in the health domain is also optional but strongly desired

Applied Scientist Resume Examples & Samples

4+ years of experience in R&D in the fields of machine learning. Knowledge of statistics and fraud detection is a plus
Strong academic background in one of machine learning, statistics, or algorithms. Publications are a plus
1 year experience in writing production grade systems in languages like C, C++, C#, or Java. Knowledge of map-reduce framework is a must
Ability to investigate quickly issues, analyze and improve machine learning models
Ability to perform large scale analysis of web traffic to identify bots, fraudulent and malware driven traffic
Ability to communicate ideas and findings clearly
Ability to collaborate with multiple partners spread across different teams and geographies

Applied Scientist Resume Examples & Samples

Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products
Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test
Development of new audio and speech processing algorithms
Optimization and port to different platforms of audio and speech processing algorithms
Be responsive, flexible and able to succeed within an open collaborative peer environment
O Bachelor’s degree in Electrical Engineering or related field
Master's degree or PhD in Electrical Engineering

Applied Scientist Resume Examples & Samples

5+ years of development experience in an R&D capacity
Experience with creating fundamentally new signal processing technologies
Understanding of general acoustics
Experience with Linux audio capture and real time processing
Familiarity with OpenMAX and/or ALSA

Applied Scientist Core Machine Learning Intern Resume Examples & Samples

Hands on experience in predictive modeling and analysis, in particular one or more of: probabilistic modeling, surrogate modeling optimization, unsupervised feature learning, scalable machine learning, deep learning
Good coding skills. Experience in Python is a plus
Familiarity with Bayesian methods (e. g. Gaussian processes)

Applied Scientist Resume Examples & Samples

Strong ability and effectiveness working in a significant technical problem domain, in the areas of plan, design, execution, continuous release and service operation
Ability to effectively work in a collaborative multiple project team environment and ship production features in a fast-paced startup environment
Customer/results/metrics driven in design and development

Applied Scientist Resume Examples & Samples

Contribute to evolving the technical direction of Ad Quality Systems and play a critical role their design and development
Build and support billing pipeline responsible for handling all revenue impacting events in Sponsored Ads in real-time
Develop the next generation of automation tools for monitoring and measuring Ad Quality, with associated user interfaces
Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation
5+ year experience in building machine learning applications
Experience in independently designing machine learning applications
Providing technical leadership for machine learning projects
Hand-on knowledge of existing ML packages, platforms
Good grasp of machine learning fundamentals
Advanced Degree in computer science or related discipline or 6+ years of relevant industry experience
Expertise in Big Data technology (Map/Reduce, Spark, Hadoop)

Applied Scientist Resume Examples & Samples

A Master’s Degree in Machine Learning, mathematics, information science, engineering, statistics, or a highly quantitative field
5+ years of hands-on experience developing and implementing Machine Learning algorithms and/or statistical models
Programming, prototyping, and scripting skills (Oracle, SQL, Hive, Pig, SAS, R, Python)
Doctorate in Machine Learning, mathematics, information science, engineering, statistics, or a highly quantitative field
Demonstrated experience to mentor/manage a research team for three years or more
Application development in Java or C++

Applied Scientist Resume Examples & Samples

Use machine learning and NLP techniques to create scalable solutions for business problems
Explore and help develop models leveraging entity/relation extraction, normalization, summarization, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR and question answering
Work closely with software engineering and data engineering teams to drive real-time model implementations and new feature creations
Establish scalable, efficient, automated processes for model development, model validation, and model implementation
Bachelors in Engineering, Mathematics, Statistics, Finance, or related field
Strong working knowledge of machine learning, data mining, and analytics techniques
Experience in using R, Python, Java, C++
Fluent in unix
MS/PhD with a focus on Computer Science, Machine Learning, Natural Language Processing or Information Retrieval
Experience in one or more of the following areas: entity/relation extraction, normalization, summarization, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR, question answering
Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embeddings, representation learning, text/sentiment classification, ambiguity disambiguation

Applied Scientist Resume Examples & Samples

Proven ability to relate to and solve business problems through machine learning and statistics
2+ years of hands-on experience developing and implementing machine learning algorithms and/or statistical models
Amazon is an equal opportunity employer

Applied Scientist Resume Examples & Samples

Ability to lead and mentor engineers
Masters (in CS or related field)
5+ Years of experience in Software Development
Experience building high-quality scalable production software
Familiarity with many development languages: C++, Java, Python, expert in at least one
Experience with full development life cycle for large-scale software products including experience with service oriented architectures, design patterns, web services, and web applications/services development
PhD (in CS or related field)
1+ years of experience applying machine learning to solve real-world problems
Experience working with Spark, Hadoop, and AWS (EMR, EC2, S3, etc…)
Experience working with large volumes of real-world noisy data

Applied Scientist Resume Examples & Samples

Design, develop, and support new features on a world-class search service that serves billions of queries
Apply Information Retrieval, Machine Learning, and NLP techniques to retrieve relevant results and provide optimal ranking
Dig deep into how customer behavior differs between categories and go beyond generic relevance algorithms. Work as part of product teams that shape the future of Amazon
Participate in the full development cycle: design, development, impact assessment, A/B testing and results analysis, and deployment,
Take the latest results from the research community and apply them to delighting our customers
Work in an agile environment to deliver high quality software against ambitious schedules. Collaborate with engineers/teams to find technical solutions to complex design challenges
Strong Machine Learning and modeling techniques including classification, regression and Bayesian analysis
Strong skills in algorithm design and complexity analysis
Experience with Hadoop for web-scale data processing
Results-oriented with a strong customer and business focus
Highly innovative, flexible and self-directed, but also a co-operative team player
Ability to deal well with ambiguous and undefined problems
Able to thrive in a fast paced environment
Strong sense of ownership

Applied Scientist, Home Innovation Team Resume Examples & Samples

Develop machine learning and analytical techniques for intelligent information retrieval/classification system to solve business problems
Design, develop and deploy highly scalable machine learning models
Analyze and understand large amounts of Amazon’s historical business data
Working closely with software engineering teams to build machine learning based features & products
Track business impact of the science work and providing clear updates
A PhD in CS machine learning, Operational research, Statistics or in a highly quantitative field
5 years SAS/R/Python/Matlab/SQL experience
2+ years industrial experience in an analysis or research role with progressively increasing responsibility
2+ years of experience in scripting for data analysis (Perl, Awk, Python, etc)
Excellent communication skills
10 years of industry experience in predictive modeling and large data analysis
Strong skills with Spark/Perl/Python(or similar scripting language) and Java/C++
Solid knowledge of statistics and probability
Experience with large scale data analysis tools such as Spark, Hadoop, etc. AWS experience is a plus
Big thinker that can take broad visions and concepts and develop structured plans, actions and measureable metrics and then execute those plans
Ability to communicate effectively across multiple organizations in the company

Computer Vision Applied Scientist Resume Examples & Samples

PhD Degree in Computer Science or related field
Experience with hardware/software integration and real time communication systems
Strong Mathematical/Statistical fundamentals
Proficiency in, at least, one modern programming language
Experience applying machine learning approaches to complex problems
Knowledge of software engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, and livesite operations
Experience in communicating with end users, technical and business teams, and management to collect requirements, describe product features and technical designs

Applied Scientist Resume Examples & Samples

Participate in research for developing new machine learning and language understanding technology
Work independently and collaboratively with other research and product teams across Microsoft to build end-to-end experiences
Think creatively, and proactively and in a self-driven manner to solve existing problems and identify new opportunities
M.Sc. or Ph.D. in computer Science, or a related field, or equivalent practical experience
Experience in Natural Language Understanding, Machine Learning, Data Mining or Artificial Intelligence
Programming experience in one or more of the following: C#, JAVA, C, C++, Python
Familiarity with open source machine learning and NLP frameworks such as Scikit Learn, Spark, Theano, NLTK, CNTK, or Tensor Flow
Experience with deploying machine learning models in production environments
Track record of publishing in top tier conference (e.g., ACL, WWW, NIPS, ICML, SIGIR, etc.) is a plus

Applied Scientist, Advertisting Resume Examples & Samples

Analyze and extract relevant information from large amounts of Amazon's historical business data; Then use machine learning, data mining and natural language processing techniques to create data driven models and solutions to improve business efficiencies
Research and implement novel machine learning and data mining approaches
PhD in Computer Science, Machine Learning, Natural Language Processing, Statistics, Applied Mathematics or in another highly quantitative field
2+ years of hands-on experience in machine learning, data mining and/or quantitative analysis
Skills with Python, Java, C++, or other programming language, as well as with R, Matlab or similar scripting language
Skills with Pig, Hive, Spark or other Big Data ETL programming languages
Strong communication and data presentation skills

Applied Scientist Resume Examples & Samples

A PhD in Statistics, Computer Science Machine Learning, or in a highly quantitative field
3+ years of industry experience in predictive modeling, machine learning and big data analysis
Strong skills with Python and Java/C++
1+ year distributed programming experience

Applied Scientist Resume Examples & Samples

Doctorate in Computer Science, Electrical Engineering, or related field
Research background focusing on modern machine learning approaches
Experience working within a multidisciplinary product development team
Prior knowledge of Amazon Web Services (EC2, SQS, DynamoDB, etc.)
Experience in Image Processing and Computer Vision

Applied Scientist Intern Resume Examples & Samples

Apply deep learning technique on textual and image information to extract features
Analyze and extract relevant information from large amounts of Amazon’s historical business data to gain product insights
Design, develop and evaluate highly innovative models for the learning task
Research and implement novel machine learning approaches to recommend products
PhD candidate in Machine Learning, Natural Language Processing, Computer Vision or in another highly quantitative field
Hands-on experience in deep learning models
Skills with Java and Python
A natural curiosity and desire to learn
Experience in using TensorFlow, Keras

Applied Scientist Resume Examples & Samples

Degree in Computer Science or related technical field; Master or PhD a plus
Strong research and development experience with machine learning, data mining, natural language processing, pattern recognition, speech recognition and information retrieval
3+ years programming experience in C++/C# and knowledge of data structures and algorithms
Experience in architecting, developing and delivering advanced engineering projects is a strong plus
Proven track record on shipping products/services with high quality

Applied Scientist Intern Resume Examples & Samples

Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics or a related field
Good communication skills and the ability of working in a team
Demonstrable research track record in the form of academic publications
Experience of working with large datasets

Principal Applied Scientist Resume Examples & Samples

Outstanding expertise and research experience on statistical machine learning, data mining, information retrieval, optimization, Bayesian inference and MCMC
PhD degree in CS/EE or related areas is required
Minimum 5 years’ experience with C++ or C#
Familiarity with distributed data processing/analysis and modeling paradigm, such as Map-Reduce and MPI, is preferred
Experience in online advertising is a plus

Applied Scientist Resume Examples & Samples

MS degree in Computer Science, Mathematics, Electrical Engineering or equivalent. (PhD preferred)
1+ years of strong background in at least one of the following areas is required: dialog systems, natural language processing, machine learning or speech recognition systems
1+ years of solid machine learning background. – how many years?
Experience with deep learning methods and toolkits (e.g. Tensorflow, Theano) is a plus
1+ years of experience in C#, C/C++, Java, or Python. - How many years?
Experience with distributed processing techniques such as Hadoop or Map/Reduce preferred

Applied Scientist Resume Examples & Samples

Research background focusing on computer vision, image processing, or photorealistic rendering
Track record of successfully driving cross-team projects in a corporate environment
Experience working within a product development team
Experience working on content authoring and/or 3D systems

Applied Scientist Resume Examples & Samples

Sharp analytical abilities, proven design skills, excellent communication skills
Strong sense of ownership, urgency, and drive, and a track record of delivery
Solid coding practices including good design documentation, unit testing, peer code reviews, and a preference for agile methods
Passion for building new products in a fast paced, team-oriented environment
Bachelor’s Degree in Computer Science or related field
Experience with distributed data processing platforms such as Hadoop MapReduce, and high-level query languages such as Hive, or Pig
5+ years of industry experience or academic research

Applied Scientist Resume Examples & Samples

Design and implement platform services to automate machine learning technologies
A PhD in Computer Science, Machine Learning, or other highly quantitative field
Experience in developing and testing software for data processing and analytics
Demonstrated skills in implementing and deploying large scale machine learning applications and tools

Applied Scientist Resume Examples & Samples

Code and test system components; participate in code and design reviews
Work with quantitative modelers within measurement and big data experts at AWS to deliver and operate services
Mentor other engineers, define the technical culture, and help grow the team
Masters and 2+ years experience writing large scale systems in C/C++ or Java or PhD with 2+ years of work experience
Experience with database systems internals, query optimization, and storage systems
Possess excellent communication, sharp analytical abilities, and proven design skills
Quants from the finance/banking looking for a change will find this opportunity exciting

Applied Scientist Resume Examples & Samples

Communication: Able to convey mathematical results in plain English, being able to clarify and formalize complex problems. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Can present company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences. Should interact with various software and business groups to develop an understanding of their business requirements and operational processes
1+ years professional experience in software development
Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis
Knowledge of at least one statistics/data analysis package, such as R/S/S+, SAS, Stat, or SciPy

Applied Scientist, Alexa Engine Resume Examples & Samples

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with relevant work experience
Familiarity with standard machine learning techniques, scientific thinking, and the ability to invent
Solid Machine Learning background with experince in supervised machine learning techniques
PhD with specialization in machine learning applied in personalization, with at least 3 years of related work experience
Entrepreneurial spirit combined with strong architectural and problem solving skills

Principal Applied Scientist Resume Examples & Samples

10+ years’ experience in R&D one of the following fields: ML, IR, Statistical NLP, CV, or Computational Economics
Strong academic background in one of above fields. Publications are a plus
Strong experience in writing production grade systems in languages like C, C++, C#, or Java. Knowledge of map-reduce framework is a must. Knowledge of Spark/Storm is a plus
Ability to drive multiple projects simultaneously, involving working with multiple team members, teams, and partners
Ability to design large scale solutions and systems
Ability to quickly investigate issues when models don’t behave as expected
Ability to independently drive data analysis, propose solutions, and drive projects to completion
Ability to communicate ideas and findings clearly. Ability to interact with leadership team and partner teams is a must

Applied Scientist Resume Examples & Samples

PhD/MS in Computer Science or related areas
2+ years’ experience in the areas of machine learning, information retrieval, natural language processing or data mining
2+ years of design and development experience with C++/C#/Java, or similar programing languages
2+ years of experience in areas such as massive database applications, parallel or distributed processing, high performance computing, large scale data mining
2+ years of experience with Hadoop, Dryad, or similar distributed systems

Applied Scientist Resume Examples & Samples

Outstanding expertise and research experience on artificial intelligence, machine learning, data mining, economics, game theory, and optimization
Great design and problem solving skills, with a strong bias for quality and engineering excellence at scale
The most successful candidates will possess the ability to learn new techniques from textbooks or research papers and apply them to the business problem at hand
M.S. or PhD degree in CS/EE or related areas is required
1+ years experience in AI, Machine Learning, or data analysis

Applied Scientist Resume Examples & Samples

· PhD in Computer Science, Machine Learning, Natural Language Processing, Operational Research, Statistics or a related quantitative field
5+ years of hands-on experience in a data driven field
Skills with C++, python, or similar scripting languages

Applied Scientist Resume Examples & Samples

PhD in Computer Science, Machine Learning, Natural Language Processing, Operational Research, Statistics or a related quantitative field
·Skills with C++, python, or similar scripting languages
Publications in top conferences in the field

Applied Scientist Resume Examples & Samples

Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
10+ years of industrial experience in predictive modeling and analysis, predictive software development
Good skills with Java or C++, Perl/Python (or similar scripting language)
Experience handling gigabyte and terabyte size datasets
Experience working with retail or e-commerce data

Applied Scientist Resume Examples & Samples

Manage end-to-end processes for model development and production
Design, development and evaluation of highly innovative models for predictive learning, content ranking, and anomaly detection
Bachelors in Computer Science, Mathematics, Statistics, or related field
8+ years of relevant experience in predictive modeling and analysis, ML model development
MS/PhD in Computer Science, Mathematics, Statistics, or related field
10+ years of relevant experience in building and maintaining large scale ML models and/or systems
Experience with NoSQL is strong plus

Applied Scientist Resume Examples & Samples

Experience in a highly scalable, distributed environment preferred
Results oriented person with a delivery focus
Domain expertise in ONE OR MORE of the following fields
Big data and Distributed processing
Information Retrieval
Natural language Programming

Applied Scientist Resume Examples & Samples

Building and owning web-scale machine learning models to predict ads relevance
Finding insights and forming hypothesis in the data with various machine learning, statistical, and data mining techniques: e.g. regression, classification, optimization, p-values analysis
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
All programming languages welcome, especially R, Python, SQL, Java, and C#
Building data manipulation, processing, and visualization tools and sharing these tools and your knowledge across the team
Knowledge in one of the programs: R, Python, SQL, Java, and C#
A willingness to learn, share, and improve

Applied Scientist Resume Examples & Samples

Ph.D. in Computer Science or related field, or a Master's degree with equivalent industry experience
A minimum of 2 years of experience in computer vision or image processing
Specific computer vision skills in object detection, recognition, 3D computer vision, and/or tracking
Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver new solutions
Familiarity with vision systems on mobile devices
Excellent communication skills, solid work ethic, and a strong desire to write production-quality code

Principal Applied Scientist Resume Examples & Samples

PhD in statistics, computer science (concentration in one of the following: machine learning, data mining, natural language processing, dialog systems, information retrieval, or human-computer interaction), or related discipline
8+ years of professional experience developing product level algorithms, with a proven track record of successfully shipping applied research to production
Expertise in developing or applying predictive analytics/statistical modeling/data mining/machine learning algorithms, especially at scale
Experience with leading or participating in successful incubation projects
Proficiency in relevant tools, e.g., Cosmos, TLC, Azure ML, .NET, C#, SQL, and Python
Experience with developing intelligent assistant technology is a significant plus

ML Applied Scientist Resume Examples & Samples

A background in Machine Learning, Natural Language Processing, or Information Retrieval
Data mining solutions on text data
Experience with Hadoop, Dryad or similar systems
Prior work on large scale database or Internet-scale applications
A PhD, in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects. Exceptional candidates with an MSc in one of the areas above will also be considered
Strong theory/algorithmic background and very good understanding on how to apply advanced knowledge to solve real problems

Applied Scientist Resume Examples & Samples

Post-Graduate degree in engineering, computer science, or mathematics, and 5+ years of related experience
Deep theoretical knowledge and hands-on experiences in computer vision, image processing and machine learning including scale invariant descriptors, high-dimension classifiers, Deep learning methods
Experience with code and memory profiling tools and practices
Experience with build and configuration tools
Resourceful, collaborative, creative, results driven and adaptable team player

Applied Scientist Resume Examples & Samples

Masters degree in Computer Science, Applied Math, Statistics, Electrical Engineering or a highly quantitative field
Ph.D degree in Computer Science, Applied Math, Statistics, Electrical Engineering or a highly quantitative field
5+ years of hands-on experience developing and implementing Machine Learning algorithms and models

Applied Scientist Resume Examples & Samples

Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications
Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering
Routinely build and deploy ML models on available data
Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists

Applied Scientist Resume Examples & Samples

Develop predictive algorithms and produce data insights
Suggest, specify, and prototype original components and help with their productizing
Provide technical leadership, learn, and partner with other Microsoft teams
Ph.D. in computer science, machine learning, mathematics, AI, or a related field
Ability to formalize real-life problems and to focus on business objectives
Good understanding of predictive analytics process from data validation to model assessment, stability, and deployment monitoring
1+ years of programming and/or development skills using C#/C++/Java/Python
Good contingency planning skills, ability to anticipate and to overcome difficulties
Strong communication skills and ability to work with multi-disciplinary teams

Applied Scientist Resume Examples & Samples

MS/Ph.D. in CS/EE or related areas is preferred
Strong software engineering fundamentals, including coding, problem solving and data analysis skills. Passionate and self-motivated
Experience with Hadoop, Dryad, or similar distributed systems is a plus
2+years Software design and development experience with C++/C#/Java, or similar programing languages
2+years Experience in areas such as massive database applications, parallel or distributed processing, high performance computing, large scale data mining

Applied Scientist Resume Examples & Samples

At least 3 years’ experience in software development
Knowledge of C#, C++, Java or Python
MS/PhD degree in CS/EE

Applied Scientist Resume Examples & Samples

Advanced degree in a quantitative field such as Statistics, Mathematics, or Machine Learning
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Proficiency in at least one modern programming language such as Python or C/C++
Entrepreneurial spirit and passion for innovation and having a large impact
Experience building systems for large-scale data science

Applied Scientist Resume Examples & Samples

Analyze real world data and propose novel solutions to user challenges
Ship models to production to power user facing features
Bachelors degree in computer science or closely related field, Masters or PhD preferred
3+ years experience in production modeling or software development
Production experience in at least one of the following

100

Applied Scientist / NLP Resume Examples & Samples

Track general business activity and identify opportunities to improve our products and services
Research and implement novel machine learning and statistical approaches to solve natural language problems that matter to our customers
Work closely with software engineering teams to productize scalable algorithms and deploy models
Ph.D. in NLP, ML, Statistics or another highly quantitative field
3+ years of recent development experience in Java, C++ or other high-level programming language
Strong sense of ownership and drive
Experience with neural network modeling

101

Applied Scientist Resume Examples & Samples

Degree in statistics, computer science (concentration in one of the following: machine learning, data mining, natural language processing, dialog systems, information retrieval, or human-computer interaction), or related discipline. PhD preferred
3+ years experience developing or applying predictive analytics/statistical modeling/data mining/machine learning algorithms, especially at scale
3+ years of experience in software design and development skills/experience
Strong collaboration skills, both within-team and cross-team
2+ years of professional experience developing product level algorithms, with a proven track record of successfully shipping applied research to production
Experience with working on incubation projects or startups
Proficiency in relevant tools, e.g., Cosmos, TLC, Azure ML, .NET, C#, SQL, and Python. o Experience with developing intelligent assistant technology

102

Applied Scientist Resume Examples & Samples

5+ years’ experience in large scale data mining and cloud computing
3+ years’ experience with modern Speech Recognition technologies, especially Language Modeling
3+ years’ experience with MapReduce framework and parallel/distributed processing such as Hadoop, Spark, Dryad or Scope
5+ software engineering experience in C/C++

103

Applied Scientist Resume Examples & Samples

Graduate degree in CS, EE or equivalent. Ph.D. is preferred in NLP, IR, ML or DNN area
3+ years of experience in natural language processing, machine learning, data mining, or information retrieval
3+ years of programming and debugging skills & experience
Experiences in build and maintaining production modelling & data pipelines are strong pluses. Experiences in the area of online services and/or search are strong pluses
Passionate & self-motivated

104

Applied Scientist Resume Examples & Samples

Design, experiment and evaluate highly innovative models for predictive learning
Work closely with tech teams to drive real-time model experiments, implementations and new feature creations
Work side by side with business operators to design the most innovative, relevant and effective methods to improve current workflows and lower overall costs
Research and implement novel machine learning, statistical and econometrics approaches
Masters Degree in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
8+ years of hands-on experience in predictive modeling and machine learning

105

Applied Scientist Resume Examples & Samples

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in natural language processing, or machine learning
2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning / deep learning models in production
3+ years of hands-on experience in programming languages such as C/C++, Java, or Python
Knowledge of current Deep Learning / Machine Learning toolkits
Solid Machine Learning and Deep Learning background, and familiar with standard speech and machine learning techniques

106

Applied Scientist, AWS NLP Resume Examples & Samples

Experience in deep learning
Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.)
Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning
Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embeddings, structured prediction, sentiment analysis, disambiguation
Experience with large scale data analysis tools such as Spark, Hadoop etc

107

Principal Applied Scientist Resume Examples & Samples

Strong software design and development skills/experience. Experience Required
Master's degree or higher in Computer Science or EE
7+ years working with data, data processing or data analysis

108

Applied Scientist Graduate Intern Resume Examples & Samples

Currently enrolled in a graduate degree program (either MS or PhD) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in speech recognition, natural language processing, and/or machine learning
Strong working knowledge with programming languages such as C/C++, Java, Perl, or Python
Strong written and spoken communication skills

109

Applied Scientist Computer Vision Resume Examples & Samples

A minimum of 4 years of experience in computer vision or image processing
Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel algorithms and advancing the state of the art
At least 3 years of experience in coding computer vision and machine learning algorithms in C++, C# or Java
Proficiency in MATLAB or Python
Demonstrated track record of successful projects in algorithm design and software development through the product lifecycle
Deep learning, machine learning, information retrieval, or data mining experience
3+ years of developing computer vision and machine learning algorithms in an industrial/corporate setting
Experience deploying solutions to AWS or cloud services a plus

110

Applied Scientist Resume Examples & Samples

Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
Work closely with business owners and operations staff to optimize various business operations
Mentor other scientists and engineers in the use of ML techniques
A MS or PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field
5+ years of hands-on experience in applied Machine Learning and Big data
Comfortable using Java or C++/C
PHD in any of the following disciplines - Computer Science, Machine Learning, Data Mining, Statistics, Operational Research
Experience with distributed algorithms
Experience with Hadoop, Hive, Pig, Spark
Experience with Oracle in a Linux or UNIX environment

111

Applied Scientist Resume Examples & Samples

Bachelor’s degree in computer science or closely related field, Masters or PhD preferred
2+ years’ experience in production modeling or software development
2+ years production experience in at least one of the following Machine Learning,
Natural Language Processing
Information Retrieval, Deep Learning a plus

112

Applied Scientist Resume Examples & Samples

Bachelor's Degree in Computer Science or related field
4+ years professional experience in software development industry
Computer Science fundamentals in object-oriented design, data structures, and system design
Previous Experience developing with Java or C/C++
Experience building large-scale web services
Ability to achieve stretch goals in a highly innovative and fast-paced environment
Good (English) communication and analytical skills, including strong ability to identify and solve ambiguous problems
Demonstrated ability to mentor other software developers to maintain architectural vision and software quality
Experience in Service Oriented Architecture
Excellent written communication and verbal agility are strong assets
Internet and operating system security fundamentals
Experience leading Software development teams

113

Applied Scientist Resume Examples & Samples

Research and implement novel machine learning and computational models to solve problems that matter to our customers
Be efficient in aligning research direction to business requirement and make the right judgment on research project prioritization
Mentor and develop a high performing team of Machine Learning Engineers and Research Scientists
Stay informed on the latest machine learning trends in general, including recommender systems and deep learning
Understand business requirements and customer needs, and map to scientific problem
Own end-to-end experimentation, from conception/research, offline testing and live A/B testing
Experience using AWS services & tools
Experience with Spark, Scala

114

Applied Scientist Fall Intern Resume Examples & Samples

Current enrollment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field
Strong background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, graphical models, feature extraction and analysis, supervised learning, in particular discriminative methods
Fluency in a high-level modeling language such as MATLAB or R
Experience using optimization modeling languages such as AMPL or Mosel ans optimization tools such as CPLEX or Xpress
Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives
Experience with visualization of data

115

Applied Scientist Resume Examples & Samples

7+ years of hands-on experience in predictive modeling and analysis
Solid understanding of algorithms, data structures, software design and architecture
Ability to communicate well and discuss complex technical topics with both technical and business audiences
Ability to work independently with little direct supervision and take initiative, but also a co-operative team player
Experience working in agile software development
Knowledge of information retrieval theory and practice
Experience with distributed database technologies, including graph databases
Background and experience in applying machine learning and data mining with a solid command of unsupervised and supervised learning methods

116

Applied Scientist Resume Examples & Samples

Will understand the business, identify the opportunities and formulate the problems
Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize search experience
Design, develop and evaluate highly innovative models for prediction
Function within the software engineering team to drive real-time model implementations and new feature creations
BS in Computer Science, Math, Physics or in another highly quantitative field (Master's or Ph. D. preferred)
2+ years experience in Software development
2+ years experience applying Data Science
Expertise of at least one modern programming language such as Java, C/C++, or Python
Enthusiasm, creativity, and inventiveness: You will be asked to find new ways to solve challenging problems
PhD in Computer Science or another highly quantitative field
Experience in developing solutions for real-world applications
Ability to distill problem definitions, models and constraints from informal business requirements, and to deal with ambiguity and competing objectives

117

Applied Scientist Resume Examples & Samples

MS in Electrical Engineering, Computer Sciences, or Mathematics with relevant work experience
3+ years of experience with artificial intelligence or machine learning techniques
3+ years of experience with OO programming languages, such as C/C++, Java, Perl or Python

118

Applied Scientist Resume Examples & Samples

MS in computer science, engineering or related field with 7 years of relevant experience
Experience in managing highly technical teams for at least 2 years
Ability to work independently in a fast-paced, iterative development environment
Exemplary communication skills, ability to work with large cross functional teams of technical and non-technical members
PhD in computer science, engineering, or related field with 7 years of relevant experience
Experience in managing highly technical teams for at least 5 years
Expertise in specialized areas such as Machine Learning, Natural Language Processing, Text Mining, Graph Processing, Search, Recommendation Systems, or Signal Processing

119

Applied Scientist Resume Examples & Samples

Use machine learning, data mining, natural language processing, and computer vision techniques to generate powerful feature representations and create data driven models and solutions to improve discoverability and customer experience
Work closely with software engineering teams to implement those solutions
MS or PhD in Computer Science, Machine Learning, Natural Language Processing, Statistics, Computer Vision, Applied Mathematics or in another highly quantitative field
5+ years of hands-on experience in machine learning, data mining, computer vision, and/or quantitative analysis
Proven track record of production achievements in computer vision, search, or personalization

120

Applied Scientist Resume Examples & Samples

Research machine learning and operations research algorithms relevant to the business problems in North America Fulfillment Network
Implement the existing and innovative research by tailoring it to particular business needs and tested on large datasets
Design, develop and evaluate highly innovative predictive analysis and optimization
Analyze and extract relevant information from business data to help automate and optimize key processes
Establish scalable, efficient processes and models for large scale data
Work with research scientists, data scientists, software development engineers and technique program managers on model development, model validation and model implementation
Create new, scalable solutions for challenging business problems in North America Fulfillment Network and its expansion
PhD in Computer Science, Mathematics, Operational research, Statistics or in a highly quantitative field
3+ years of industry experience in predictive modeling and analysis, predictive software development
Proficiency in programming languages, such as Python, Java, R, MATLAB, and C++
Proficiency in Spark framework or related data mapping and transform techniques
Experience in modeling and mining data from database tables in S3, Redshift/ Dynamo DB
Mastery of operations research and machine learning, particularly their applications in systems and business operations
Strong communication and presentation skills. Excellent written and verbal communication skills. The role requires effective communication with colleagues from machine learning, economics, finance and operations backgrounds
Experience working in a fast-paced, high tech environment (preferably software development)
Demonstrated experience incubating and commercializing new ideas, working closely with product managers, research scientists and technical teams from concept generation through implementation
5+ years of industry experience in predictive modeling and predictive software development

121

Applied Scientist Resume Examples & Samples

Bachelors degree in computer science
4+ years experience in production modeling or software development
Production experience in at least one of the following: Machine Learning, Natural Language Processing or Information Retrieval
Production experience in Deep Learning a plus

122

Applied Scientist Resume Examples & Samples

Bachelor’ degree preferably in computer science or a similar field or equivalent work experience
4+ years of Software development experience with multiple release cycles
Proven software development skills, including cross-browser HTML, CSS, JavaScript, Java, and database technologies
4+ years of experience creating scalable, high performance software applications
Experience building complex software systems that have been successfully delivered to customers
Experience building ecommerce sites
Strong written and verbal communication skills preferred

123

Applied Scientist Resume Examples & Samples

Interact with Security Engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for
3+ years of programming skills with an object-oriented language
1+ years of experience with at least one of Apache Spark, Hadoop or Storm
PhD or Masters in machine learning, statistics or a related quantitative field
Desire and energy to work in a fast-paced environment
Domain experience with threat detection techniques
Track record of developing novel algorithms to help detect stealthy zero-day attacks5+ years of relevant experience in industry

124

Robotics Manipulation Applied Scientist Resume Examples & Samples

5+ years industry experience
Proficiency in creating deliverables for software developers
Machine Learning experience, including deep learning

125

Optimal Controls Applied Scientist Resume Examples & Samples

Machine Learning experience, including Reinforcement Learning
Experience with Camera Calibration
M.S./Ph.D. in Computer Vision, Mathematics, or equivalent
Experience delivering production quality reinforcement learning systems or equivalent
High Performance Computing Simulation Experience

126

Applied Scientist Resume Examples & Samples

Maintain a current understanding of the industry and technologies in the field
Work with scientists and develop complex software which is deeply mathematical or algorithmic in nature
Improve and accelerate technology with modeling and prototyping

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