Senior Applied Scientist Resume Samples

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AK
A Kuhn
Aaliyah
Kuhn
4202 Kris Haven
Phoenix
AZ
+1 (555) 349 0376
4202 Kris Haven
Phoenix
AZ
Phone
p +1 (555) 349 0376
Experience Experience
Chicago, IL
Senior Applied Scientist
Chicago, IL
Wolff, Haley and Nienow
Chicago, IL
Senior Applied Scientist
  • Performing data mining to understand and take advantage of past user behavior
  • Working closely with software engineering teams to drive real-time model implementations and new feature creations
  • Develop custom algorithms for unique problems at the frontier of machine learning
  • Collaborate closely with team members on developing systems from prototyping to production level
  • Developing new methods and techniques for improving the relevance of our search results
  • Partner with Software Engineers to architect and develop systems that can run these models at scale
  • Closely collaborate with other applied scientists / research scientists and economists on model development
Boston, MA
Senior Applied Scientist, ML
Boston, MA
Kuhlman-Schowalter
Boston, MA
Senior Applied Scientist, ML
  • Design, develop and evaluate highly innovative models for predictive learning
  • Research and implement novel machine learning and statistical approaches
  • Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
  • Design, development and evaluation of highly innovative models for risk management
  • Track general business activity and provide clear, compelling management reporting on a regular basis
  • Track general business activity and provide clear, compelling management reports on a regular basis
  • Partner with MSR to develop new algorithms and techniques to solve new problems and obtain better model performance
present
Dallas, TX
Senior Applied Scientist, Amazon Devices
Dallas, TX
Blick-Russel
present
Dallas, TX
Senior Applied Scientist, Amazon Devices
present
  • Build mathematical models to represent demand forecasting at various levels
  • Create, enhance, and maintain technical documentation, and present to other Scientists
  • 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
  • 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
  • Tracking general business activity and providing clear, compelling management reporting on a regular basis
  • Working closely with operations staff to optimize risk management operations,
  • Work closely with ML researchers, full stack developers, and PMs to generate the right design
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Carnegie Mellon University
Bachelor’s Degree in Computer Science
Skills Skills
  • Great design and problem solving skills, with a strong bias for quality and engineering excellence at scale
  • Strong algorithm and analytical background and very good understanding on how to apply advanced knowledge to solve real world problems
  • Proficient in C# and .NET Framework or comparable programming environment
  • Strong self-learning ability, entering new domain, managing through uncertainty in an innovative team environment
  • The most successful candidates will possess the ability to learn new techniques from textbooks or research papers + strong engineering skills
  • Proficiency in one of C#, C/C++, Python, Java + strong debugging skills
  • You want to work with a talented and highly capable team
  • Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment
  • Strong communication skills (both written and oral)
  • Ability to effectively work in collaborative multiple project team environment and ship production features in a fast-paced startup environment
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15 Senior Applied Scientist resume templates

1

Senior Applied Scientist Resume Examples & Samples

  • Deploy these models at scale in our applications and services
  • Partner with Software Engineers to architect and develop systems that can run these models at scale
  • Ingest, transform, and manipulate massive datasets in SQL or equivalent
2

Senior Applied Scientist Resume Examples & Samples

  • Strong software design and development skills/experience
  • Passionate, self-motivated
  • Effective communication skills, both verbal and written
3

Senior Applied Scientist Resume Examples & Samples

  • Solid academic and/or industry applied research background
  • Experience with real-time inference pipelines at web scale
  • Proven experience in independently addressing issues ranging from fundamental algorithm design/development/optimization to driving product outcomes
  • Proven technical leadership experience (former managerial experience not required)
4

Senior Applied Scientist Resume Examples & Samples

  • MS/Ph.D. in computer science or a related discipline is strongly preferred
  • Good communication skills, both verbal and written
  • Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment
  • 4+ years’ knowledge and experience with machine learning and information retrieval technologies
  • 3+ years’ Software design and development experience with C++/C#/Java
  • Experience in areas such as massive database applications, parallel or distributed processing, high performance computing, large scale data mining
  • Experience with Hadoop, Dryad, or similar distributed systems
5

Senior Applied Scientist Resume Examples & Samples

  • Graduate degree in CS or equivalent
  • 3+ years programming experience in C#, or comparable languages like Java, C++, Python
  • 2+ years of experience in machine learning or data mining
  • Experience in SCOPE or Hadoop is a plus
6

Senior Applied Scientist Resume Examples & Samples

  • Developing new methods and techniques for improving the relevance of our search results
  • Utilizing machine learning to train our next generation of ranking and relevance algorithms
  • Performing data mining to understand and take advantage of past user behavior
  • Measure relevance and customer satisfaction
  • Collaborate with Microsoft Research and other engineering and product groups within Bing search to deliver the most relevant and thought leading search engine available
  • 2+ years of experience in applying machine learning/data processing/statistical modeling to real-world problems. Knowledge of search/ranking algorithms and their effectiveness metrics is a big plus
  • Solid software development and engineering experience (C/C++, C#, SQL), background in developing web services is a plus
  • MS or higher degree in computer science or equivalent (Ph.D. preferred)
  • The most successful candidates will possess the ability to learn new techniques from textbooks or research papers + strong engineering skills
7

Senior Applied Scientist Resume Examples & Samples

  • Bachelor’s degree in Computer Science (or equivalent) is required; MS / PhD or equivalent experience is desired
  • Architectural design and development of large scale data processing
  • Demonstrated technical leadership strongly preferred
  • Excellent analytical and communication skills both verbal and written
  • Proficient in C# and .NET Framework or comparable programming environment
  • Ability to work independently in a team to deliver innovative solutions solving challenging business/technical problems. From high level vision and architecture, down to quality design and implementation
  • Ability to handle ambiguities and collaborate across multiple groups
8

Senior Applied Scientist Resume Examples & Samples

  • At least 5 year’ experience in software development
  • Knowledge of C#, C++, or Java
  • MS/PhD degree in CS/EE or related areas is preferred
9

Senior Applied Scientist Resume Examples & Samples

  • Gather immense amounts of data and transform it into an analytical dataset
  • Influence business-critical decisions that will minimize the cost of fulfillment while we continue to increase the speed at which we deliver
  • Apply advanced statistics, data mining, and machine learning techniques to analyze and make insights from big data such as historical production data and simulation/experiment results
  • Develop custom algorithms for unique problems at the frontier of machine learning
  • Closely collaborate with other applied scientists / research scientists and economists on model development
  • Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies
  • Lead junior scientists in collaborative work
  • PhD-level understanding of several of the following
  • Mathematical optimization (mixed integer programming, linear programming, stochastic programming/optimization discrete optimization convex optimization, reinforcement learning, etc.)
  • 5+ years of industry experience fitting production-grade machine learning models
  • Very strong self-driven mentality. Ability to pick up and adapt modeling methods from other disciplines or leverage methods from other skilled colleagues in other departments when solving problems
  • Broad experience solving complex quantitative business challenges
  • Multiple years of experience implementing machine learning methods in production software environments
  • Experience working with teams of software developers on large scale software projects
  • Familiarity with concepts like: version control, unit testing, shared code bases, and the software development lifecycle
10

Senior Applied Scientist Resume Examples & Samples

  • MS in computer science, engineering or related field with 3 years of relevant experience
  • Strong programming skills (one or more of Java, C/C++, Python) in industrial setting
  • Great design and problem solving skills, passion for quality and engineering excellence at scale
  • PhD in computer science, engineering or related field with 3 years of relevant experience
11

Senior Applied Scientist, Amazon Devices Resume Examples & Samples

  • Build mathematical models to represent demand forecasting at various levels
  • 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
  • PhD in Machine Learning, Operations Research, Computer Science, Computer Engineering, Statistics, Applied Mathematics or a related field and 2+ years of industry experience, or a Master’s degree in the related fields with 5+ years of industry experience
  • 5+ years experience building mathematical models and coding
  • 1+ years experience in stochastic and deterministic optimization techniques
  • A working knowledge of linear and non-linear optimization methods accompanied by expertise in the use of OR tools (e.g. CPLEX, Gurobi, XPRESS)
  • 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
  • Proficiency in at least one modern programming language such as Java or C++/C#
  • 1+ years of relevant development experience in Object-Oriented Design and Service Oriented Architecture
  • Prior background in operation research and optimization a plus
  • Prior background in machine learning a plus
  • Prior background in forecasting a plus
  • Prior background in time series prediction a plus
  • Experience with big data and analytics
  • Experience designing and supporting large-scale distributed systems in a production environment
  • Software development skills
12

Senior Applied Scientist Amazon Voice Shopping Resume Examples & Samples

  • Proficiency in querying SQL databases, data pre-processing and bash-scripting
  • 2+ years of relevant work experience
  • Experience with Deep Learning ANN and/or Bayesian Methods (Parametric and Non-Parametric)
13

Senior Applied Scientist Resume Examples & Samples

  • Working closely with software engineering teams to drive real-time model implementations and new feature creations
  • Tracking general business activity and providing clear, compelling management reporting on a regular basis
  • 7+ years of hands-on experience in predictive modeling and large data analysis
  • 5 years SAS/R/Python/Matlab and SQLexperience
  • 10+ years of industry experience in predictive modeling and large data analysis
  • Strong skills with SAS/R/Matlab and SQL
  • Strong Communication, writing and data presentation skills
14

Senior Applied Scientist Resume Examples & Samples

  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with at least 5 years of related work experience
  • Familiarity with programming languages such as C/C++, Java, Perl or Python
  • PhD with specialization in speech recognition, natural language processing, or machine learning
  • Strong software development skills
  • Excellent written and spoken communication skills
15

Senior Applied Scientist Resume Examples & Samples

  • Research and implement novel statistical approaches
  • MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Significant peer reviewed scientific contributions in relevant field
  • Proven track record of production achievements in language, search and personalization
16

Senior Applied Scientist, Computer Vision Resume Examples & Samples

  • An MS or PhD in Computer Science or similar
  • 5+ years of software development experience
  • Breadth and depth of knowledge in computer vision algorithms
  • Experience with General Purpose GPU (GPGPU) processing
  • Experience working with live video and tight timing constraints for real time or near real time processing
17

Senior Applied Scientist Resume Examples & Samples

  • Masters or Ph.D in Computer Science or Language Science
  • Strong technical credentials, with at least 6 years of experience working in ML, speech recognition, natural language understanding, computer visions etc
  • Experience applying theoretical models in an applied environment, solid fundamentals in problem solving, algorithm design and complexity analysis
  • Proficient with mathematical programming libraries
  • A track record of communicating well with software engineers and non-technical leaders in speech technology
18

Senior Applied Scientist Resume Examples & Samples

  • A PhD in computer science, mathematics, operations research, or a related field; or a MS or BS and equivalent experience
  • (a) Experience successfully applying techniques found in the fields of machine learning/statistical learning, computer vision, collaborative filtering, information retrieval, and/or optimization, including breadth across techniques and depth in at least one technique
  • (b) Demonstrated ability to independently query data and build prototypes
  • A demonstrated ability to guide more junior scientists on problem specification, design of experiments, application of techniques, and evaluation of results
  • A strong sense of ownership, including prioritizing the most important research for customers over specific personal research interests when the two conflict
  • Experience with deep learning, topic modeling, and/or image processing
19

Senior Applied Scientist Resume Examples & Samples

  • Technology thought leadership
  • Translate analytic insights into concrete, actionable recommendations for the software development team
  • MS or PhD in Computer Science, Applied statistics or a Related field
  • Proficiency at querying relational databases (SQL) and ability to build and maintain processes to pull & integrate data from various sources
  • Experience with analytics tools such as SAS, STATA or R
  • Strong critical thinking and attention to detail
  • 3+ years professional experience in Analytics or other quantitative disciplines
  • Track record of solving ambiguous and complex technical problems
  • Ability to invent ways to measure qualitative ideas in quantitative ways
  • Strong experience in developing sound analytic-based solutions to business problems
  • Experience in a broad set of ML approaches and techniques
20

Senior Applied Scientist Resume Examples & Samples

  • 5+ years of experience in applying machine learning/data processing/statistical modeling to real-world problems. Knowledge of search/ranking algorithms and their effectiveness metrics is a big plus
  • 5+ years of experience in C/C++ or C# and SQL
  • Background in developing web services is a plus
21

Senior Applied Scientist Resume Examples & Samples

  • PhD degree in computer science, operations research, statistics, engineering, or mathematics
  • 5+ years of experience in the field with a proven track record
  • Experience with fast prototyping
  • Experience with object oriented languages and efficient low level coding
22

Senior Applied Scientist Resume Examples & Samples

  • Bachelor’s or Master's degree in Computer Science or equivalent
  • Proficiency in one statically typed language (Java, C, C++, …)
  • Proficiency in one scripting language (Python, Perl, …)
  • Familiarity with a version control system
  • Excited to work on a diverse team
  • Quantitative PhD a plus
  • Experience working with real-world noisy data
  • Experience with question/answering systems
23

Senior Applied Scientist Resume Examples & Samples

  • 8+ years’ experience in R&D in the fields of machine learning. Knowledge of statistics and computational economics is a plus
  • Strong academic background in one of machine learning, statistics, or computational economics. 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
  • Ability to investigate quickly issues when models don’t behave as expected
24

Senior Applied Scientist Resume Examples & Samples

  • Integrate vendor hardware and software stacks
  • 7+ years of development experience in an R&D capacity
  • Knowledge of digital signal processing techniques related to audio analysis and processing
25

Senior Applied Scientist Resume Examples & Samples

  • Design ML pipelines such as offline training and online inference in the cloud and on client side
  • Work closely with ML researchers, full stack developers, and PMs to generate the right design
  • Think creatively about how to solve deep technical challenges
  • Use usage data to drive the implementation of features
  • Experience with development in large, high-volume services
  • Experience with agile development environment
  • Ability to ramp-up quickly on complex and unfamiliar code
  • Collaborate well with other people and teams to deliver end to end experience
26

Senior Applied Scientist Resume Examples & Samples

  • Demonstrated ability to define and implement quality metrics to measure success for intelligent systems
  • Demonstrated track record in delivering results
  • Great passion, terrific problem-solving skills and ability to work independently
  • Demonstrated ability to ramp-up quickly in new areas and drive to get things done
  • Excellent communication and cross-team collaboration skills
27

Senior Applied Scientist Resume Examples & Samples

  • 5+ years of experience with agent planning, decision making, control and optimization
  • 5+ years of experience with state estimation, visual odometry, IMU sensor fusion, and simultaneous localization and mapping (SLAM)
  • 5+ years of experience with distributed agents is a plus
  • Relevant publications in your field of expertise
28

Senior Applied Scientist Resume Examples & Samples

  • M.S. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least 3 years work experience
  • Experience working with relational databases and SQL in a real-world context
  • Ability to clean, transform, and merge your own data in a procedural language like Python or R
  • Strong background in statistics methodology, applications to business problems
29

Senior Applied Scientist Resume Examples & Samples

  • 7+ years’ software design and development experience with C++/C#/Java, or similar programing languages in commercial software services
  • 5+ years of leadership experience and skill set in both significant technology areas and complex commercial software project
  • Experience in the areas of online services such as search, online advertisement, recommendation systems, are strong pluses
30

Senior Applied Scientist Resume Examples & Samples

  • 5 years related experience
  • Ph.D. in Computer Science preferred
  • Experience with large-scale data processing algorithm development on distributed systems
  • Experience with machine learning, deep learning, natural language processing, statistics and information theory
  • Proficiency in one of C#, C/C++, Python, Java + strong debugging skills
  • Great cross-team collaboration skills
  • Desire to be productive and accomplish something every day
31

Senior Applied Scientist Resume Examples & Samples

  • Translate functional and technical requirements into detailed architecture and design
  • Be responsible for overall system architecture, scalability, reliability, and performance
  • Masters and 7+ years experience writing large scale systems in C/C++ or Java or PhD with 4+ years of work experience
  • Masters in Computer Science, Electrical/Systems Engineering, Physics, Math or related disciplines
  • Experience delivering and operating large scale, highly available distributed systems
  • Strong knowledge of data structures, algorithms, OS and distributed systems
  • Understanding of system performance and scaling
  • Ability to drive tasks to completion and take ownership of projects
  • Ability to work in a fast paced and agile development environment
32

Senior Applied Scientist Resume Examples & Samples

  • A MS degree in Computer Science, statistics or applied mathematics. PhD preferred
  • 5+ years of experience in machine learning unsupervised and supervised learning techniques
  • 3+ years of experience with MapReduce, Hadoop, Cosmos/SCOPE or equivalent
  • Bonus: familiarity with Computer Vision
  • Bonus: if you actively publish and review peer publications in your academic area
33

Senior Applied Scientist Resume Examples & Samples

  • Implement pipelines to prepare and learn from real world data
  • Design experiments to understand user behavior and make data driven decisions
  • Work as part of a collaborative team to deliver projects from inception to end user
  • BS in Computer Science or closely related field MA or PhD preferred
  • 6+ years’ experience in production modeling or software Development
34

Senior Applied Scientist Resume Examples & Samples

  • 3+ academic and/or industry applied research background
  • 3+ years of experience with real-time inference pipelines at web scale
  • Relevant publications in your field of expertise from conferences such as: AAAI, CVPR, NIPS, or ICML
35

Senior Applied Scientist Resume Examples & Samples

  • 4+ years’ software design and development experience with C++/C#/Java, or similar programing languages in commercial software services
  • 3+ years of experience in areas such as massive database applications, parallel or distributed processing, high performance computing, large scale data mining
  • 3+ years of experience with Hadoop, Dryad, or similar distributed systems
36

Senior Applied Scientist Resume Examples & Samples

  • Evaluating existing technologies and/or creating new machine learning and data mining algorithms, designing and executing offline/online experiments. More specifically, developing the ML algorithm without looking at user’s data or leaking the sensitive information among users and tenants
  • Working with other scientists, engineers and UX experts on the detailed design and implementation of solutions, deployments, performance monitoring and analysis, and continual refinement
  • Being vigilant about technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences
  • Value users experience and productivity more than technology per se
  • A passion for improving end user experience & productivity
  • Effective communication skills, both verbal and written, and great team work skills
37

Senior Applied Scientist, ML Resume Examples & Samples

  • Design, develop and evaluate highly innovative models for predictive learning
  • Masters or PhD in Computer Science, Machine Learning, Statistics or a related quantitative field
  • Skills with Java, C++, or other programming language, as well as with R, Python or similar scripting language
  • Demonstrated ability to effectively deal with ambiguity and deliver results
  • 7+ years of relevant experience in industry and/or academia
  • Strong demonstrated skills implementing and deploying large scale machine learning applications and tools
  • Amazon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
38

Senior Applied Scientist Resume Examples & Samples

  • 7+ years’ experience applying Data Science
  • Solid background in statistical learning techniques for NLP (e.g., Logistic Regression, HMMs, CRFs, LDA, etc.)
  • Must have ML/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement)
  • Ability to program in at least one object oriented programming language (e.g., Python, Java, Scala, C++, etc.)
  • Eager to learn new algorithms, new application areas and new tools
  • PhD in Natural Language Processing, Machine Learning, or Information Retrieval (or related area) or equivalent experience
  • Experience or motivation to work on modern deep learning approaches to NLP
39

Senior Applied Scientist Resume Examples & Samples

  • Analyze and extract relevant information from Amazon’s massive data stores to help automate and optimize key features and processes
  • Work closely with software engineering teams to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms
  • Collaborate closely with remote teams (US, Japan, Europe and China) on global projects, including site visits
  • Research, report and present findings and experiment results both internally and externally
  • Mentor more junior scientists and engineers on best practices and support their development
  • Work closely with stakeholders to identify new problems or future directions; determine the scope and best place to apply machine learning, and evaluate different approaches
  • Apply best practices, principles and processes to research in industry
  • MSc in Computer Science, Machine Learning, Statistics or a related quantitative field
  • 5+ years of hands-on experience in applying machine learning
  • Domain expertise in one or more area of Machine Learning, such as supervised/unsupervised learning, regression, neural networks, kernel methods, ensemble methods, Bayesian methods, probabilistic graphical models and optimization
  • Fluency in oral and written English a must. Fluency or proficiency with other languages is a plus
  • Effective communication skills to interact with all level from VPs to developers
  • Ability to handle multiple tasks and deliver them on time, exhibiting a high degree of proactive “hands-on” thinking and acting
  • Ability to deal with ambiguity in a fast-paced environment where every change affects the shopping experience of our customers world-wide
  • Ability to work in a diverse team, both locally and remotely
  • Hands-on experience with analysing truly large amounts of data, including defining and running data collection experiments
  • Expertise on a broad set of ML approaches and techniques, ranging from Deep Learning to Bayesian Non-Parametric methods
  • Strong Experience in one or more following fields: natural language processing, ranking systems, recommendation systems, text understanding, pattern recognition and large-scale data mining
40

Senior Applied Scientist Resume Examples & Samples

  • Here are some things that we'd prefer to see, though none is independently a requirement
  • A strong engineer with a passion for data analysis
  • Proven ability to take a project from an idea to a launched product
  • Experience mentoring and training others on complex technical issues
  • Master’s Degree in Computer Science or related field
  • Fluent in a modern programming language such as Java, C, C++, or Scala
  • Experience with distributed data processing platforms such as Spark, MapReduce, and high-level query languages such as Hive, or Pig
  • 8+ years of industry experience or academic research
  • Experience performing data analysis on large data sets
  • Experience building tools that perform large scale data analysis
  • Strong skills in a scripting language such as Python, Perl, or R
  • Masters and/or PhD in Computer Science, Math, Machine Learning, Applied Machine Learning, Deep Learning, Statistics, Applied Statistics, Computational Statistics, Computational Physics, - Computational Biology, Scientific Computing, or related field
41

Senior Applied Scientist Resume Examples & Samples

  • Familiarity with Deep Learning/Recurrent Neural Network and related technologies
  • Strong R&D experience with a track record of advancing state-of-art technologies in SR, NLP and related fields
  • A passion for improving end user experience
  • Effective communication skills, both verbal and written and great team work skills
42

Senior Applied Scientist Resume Examples & Samples

  • BSc in CS/EE or related areas is required
  • 3+ years of proven industry experience with NLP
  • Strong engineering capabilities: problems solving, design and data analysis
  • Strong self-learning ability, entering new domain, managing through uncertainty in an innovative team environment
  • Strong collaboration and planning skills
43

Senior Applied Scientist Resume Examples & Samples

  • Research background focusing on modern computer vision and image processing topics
  • 10+ years industry experience
  • Proficiency in Python, Java, C++, Objective-C, and C#
44

Senior Applied Scientist Resume Examples & Samples

  • Validate new or improved models via statistically relevant experiments across millions of customers
  • Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent)
  • Strong personal interest in learning, researching, and creating new technologies with high customer impact
  • Proven track record in technically leading and mentoring scientists
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
45

Senior Applied Scientist Resume Examples & Samples

  • MSc in Computer Science (Machine Learning, Data Mining, Statistics, Operational Research)
  • PHD in Computer Science (Machine Learning, Data Mining, Statistics, Operational Research)
  • Ability to distill informal business requirements into problem definitions, dealing with ambiguity and competing objectives
  • Experience in building automated analytical systems utilizing large data sets
  • Experience with distributed algorithms (Map-Reduce, MPI)
  • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
46

Senior Applied Scientist Resume Examples & Samples

  • Build, deploy and maintain production rate distributed systems and products
  • Contribute to Amazon's Intellectual Property through patents and/or external publications
  • Understand business context to decisions made within and across groups
  • 10+ years of related work experience
  • Experience in effectively working in software engineering teams
47

Senior Applied Scientist Resume Examples & Samples

  • MS or PhD in Computer Vision, Machine Learning, or related field
  • PhD Computer Vision, Machine Learning, or related field
  • Excellent written and verbal communication skills, ability to communicate effectively to both technical and nontechnical audiences
48

Senior Applied Scientist Resume Examples & Samples

  • Influence senior leadership teams on the value propositions and generate new product ideas
  • Mentor and guide junior members in the team
  • Work and collaborate effectively with tech teams, and launch to production
49

Senior Applied Scientist Resume Examples & Samples

  • Develop novel modeling techniques for pattern recognition, prediction, classification, and other complex data science problems
  • Write high quality code and contribute to our codebase of scientific applications using relevant technologies
  • Build well-iterated models or analyses which reduce noise and maximize performance and accuracy
  • Contribute to strategic planning and project management for a variety of technical initiatives
  • Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds
  • Document methodologies and increase our institutional knowledge based on experimental results and operationalized solutions
  • PhD degree in Computer Science, Applied Mathematics, Statistics, Physics, or Electrical Engineering, and 7+ years of related work experience
  • Expertise with a broad suite of machine learning techniques, natural language processing, and statistics
  • Proficiency with a major programming language appropriate for data science such as Python, Scala, or C++
  • A keen scientific mind with a proven ability to think critically and invent
  • Experience with statistical and mathematical libraries and software
  • Excellent oral and written communication skills and a strong discipline for documenting methodologies and applications
  • Ability to develop prototypes
  • A track record of thought leadership & contributions that have advanced the field
  • Expertise in artificial intelligence techniques and methodologies
  • Experience with modern methods for parallelized processing of large, distributed datasets (e.g. Spark, Hadoop, Map-reduce)
  • Experience working effectively with software engineering teams, product managers, and designers
  • Experience working with web data (corpus of HTML documents, browse clickstreams, server logs)
  • Proficiency with relational databases, Linux, and AWS solutions