Scientist Machine Learning Resume Samples

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L Hilpert

Linwood

Hilpert

27496 Gulgowski Point

Detroit

+1 (555) 284 6000

27496 Gulgowski Point

Detroit

Phone

p +1 (555) 284 6000

Experience Experience

Phoenix, AZ

Data Scientist / Machine Learning

Phoenix, AZ

Leuschke LLC

Phoenix, AZ

Data Scientist / Machine Learning

Develop multi-parametric algorithms to correlate bacteria identification and susceptibility assay data with gold standard methodology
Work with the laboratory staff to help quickly detect and identify experimental problems and failures with statistical analysis
Conduct advanced statistical analysis and create reports and visualization tools to illustrate statistical significance of experimental results and identify trends
Develop statistical methods and machine learning for predictive analysis to decrease time to result
Manage data stream generated by HPC cluster through efficient reporting of results
Post-graduate education in machine learning, applied mathematics, statistics and/or computer science
Elucidate relationships between data patterns and microscopic images of live bacteria under control and test condition

Phoenix, AZ

Data Scientist, Machine Learning & AI

Phoenix, AZ

Fay Inc

Phoenix, AZ

Data Scientist, Machine Learning & AI

You are a strong collaborator and communicator and you make the engineers around you grow and learn
Large-scale Machine Learning
Deep Learning
You share our values (below) and are looking for a company that has a solid mission
Learning to Ranking for Search and Ads
You can contribute to research that can be applied to Etsy products
Fraud and Abuse Detection

present

Detroit, MI

Research Scientist Machine Learning Based on Design & Probabilistic Optimization

Detroit, MI

Hettinger, Yundt and Vandervort

present

Detroit, MI

Research Scientist Machine Learning Based on Design & Probabilistic Optimization

present

Hands-on advanced proficiency in handling and analyzing large data sets such as next-generation sequencing data
Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc
Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences
Fast prototyping, feasibility studies, specification and implementation of data analysis product components
Apply deep learning techniques to large-scale, real-world problems
PhD in Machine Learning or related field
Dive into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of engineering behaviors and manufacturing processes performance

Education Education

Bachelor’s Degree in Computer Science

University of Florida

Bachelor’s Degree in Computer Science

Skills Skills

Proven experience with data formats, structures and common methods in data transformation (CSV, XLS, JSON, Avro, Parquet as well as in relational and NoSQL databases such as MySQL, Oracle and HBase); data sources (cloud systems, AWS, MySQL, Oracle); SQL and data manipulation; big data tools (Spark, Hadoop)
Experience using core data science tools such as R, SAS, Python, Matlab, Java; boutique machine learning tools (TensorFlow, Theano, H2O Machine Learning)
Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods
Masters, PhD, or equivalent experience in a quantitative field (Computer
Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java
Exposure to SQL and relational databases
The ability to train elementary machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose
An all-around data scientist: strong statistics background, experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data
Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all stakeholder levels

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15 Scientist Machine Learning resume templates

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Data Scientist / Machine Learning Resume Examples & Samples

Develop multi-parametric algorithms to correlate bacteria identification and susceptibility assay data with gold standard methodology
Elucidate relationships between data patterns and microscopic images of live bacteria under control and test condition
Conduct advanced statistical analysis and create reports and visualization tools to illustrate statistical significance of experimental results and identify trends
Work with the laboratory staff to help quickly detect and identify experimental problems and failures with statistical analysis
Manage data stream generated by HPC cluster through efficient reporting of results
Develop statistical methods and machine learning for predictive analysis to decrease time to result
Experience with data and image analysis
Experience with advanced statistics, data mining, machine learning methods
Knowledge of image processing algorithms and related data analysis and visualization
Experience in scientific programming in MATLAB, JAVA, C#, or equivalent
Experience and proficiency in statistical programs and image processing software such as ImageJ or equivalent
Knowledge of object-oriented data structures
Experience with SQL database queries Recruiter: Ilana Raz

Research Scientist Machine Learning Resume Examples & Samples

PhD in Electrical/Computer Engineering, Computer Science, or a relevant engineering discipline
3 years of experience in the development of machine learning techniques
3 years of experience in functional and object-oriented programming (e.g., C++, Java, etc.)
2-3 years of post-PhD research experience in one or more of the areas mentioned above
1 year of experience with computer vision or image processing
1 year of experience with performance profiling and characterization

Research Scientist Machine Learning Resume Examples & Samples

Minimum 7 years of experience in the development of machine learning techniques
Minimum 7 years of experience in functional and object-oriented programming (e.g., C++, Java, etc.)
3+ years of experience with computer vision or image processing
3+ years of experience with performance profiling and characterization

Research Scientist Machine Learning Resume Examples & Samples

1+ years of experience in the development of machine learning techniques
1+ years of experience in functional and object-oriented programming (e.g., C++, Java, etc.)
1+ years of post-PhD research experience in one or more of the areas mentioned above
1+ year of experience with computer vision or image processing
1+ year of experience with performance profiling and characterization

Data Scientist / Machine Learning Resume Examples & Samples

Identify and collect relevant market and economic data
Identify and apply appropriate models for analysis, for example, from statistical or machine learning
Interpret and communicate results with a proper understanding of model error
Automate decision making processes
Predictive modelling (classification, re-sampling, regularization, CART, support vector machines, unsupervised learning, etc),
Working with large data sets and distributed computing, and
Development in Python and R - or a related language
LI

Automated Driving Research Scientist Machine Learning Resume Examples & Samples

Design effective and efficient feature detection and tracking systems
Develop new ways to use image features or tracking to improve the mapping and localization algorithms
Maintain close contact to the scientific and industrial community in machine learning and perform scouting and assessment of new approaches
Master of Science in Machine Learning, Electrical Engineering, Computer Science, or Artificial Intelligence
Ph.D. in Machine Learning, Electrical Engineering, Computer Science, or Artificial Intelligence
5+ years of Machine Learning hands on work experience
1+ years of GPU, GP-GPU, Parallel programming tools and language extensions etc
Experience with computer vision, machine learning, DNNs, and Numerical Optimization
Experience in multiple computer hardware, operating systems and tools, e.g., embedded microcontrollers, GPUs; Windows, UNIX, Linux; git, Make, subversion glibc, gcc, bash, etc
Possess strong oral and written language skills

Chief Scientist, Machine Learning Resume Examples & Samples

1) Scientific Leadership: This position is responsible for scientific and technical leadership leading to innovation and successful execution of complex research projects, as well as active engagement through publishing and involvement in the external research community
2) Analytics Community leadership: This position plays a key role in developing and building regional R&D partnerships both directly and through effective teambuilding and collaboration with sector managers and other senior staff at PNNL
3) Staff Development: This position plays a critical role in staff development through the selection, development, recruiting, and mentoring of scientific and technical staff across the Directorate
4) Program Development: This position engages directly with clients across the US Government and in industry to develop sponsored research programs at PNNL
Expert knowledge and strong research experience in multiple areas of computational analytics including data mining, text/multimedia analytics, machine learning, natural language processing, and human computer interaction
Ability to lead dynamic, geographically-distributed, multi-disciplinary teams of scientists and engineers to manage complex projects, and a large number of diverse staff
The ability to identify problems or issues that have the potential to hinder achievement of Laboratory objectives, communicate same to appropriate members of the senior management team, and assist in determining the optimal path for resolving such issues
Ability to work in and support operations in a high-security environment

Scientist Machine Learning Resume Examples & Samples

Scientific contributions in the field of multi-modality medical imaging and medical image-processing
Contributions to current research projects and the development of the future research portfolio
Integration of new research results into new products and solutions of Philips
Establishment and maintenance of academic and clinical research collaborations and networks

Research Scientist Machine Learning Based on Design & Probabilistic Optimization Resume Examples & Samples

Working with customers to understand algorithm requirements and deliver high-quality solutions
PhD in Machine Learning or related field
Experience with Machine Translation, Syntactic Parsing, NER, WSD, Morphological Analyzers, Open Information Extraction, Natural Language Generation, Knowledge Graph/Ontology Population, Table Extraction/Detection
Experience in Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)
Seven plus years of related experience
Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc
Experience with anyone or more of NLP tools: OpenNLP, NLTK, Stanford Parser, ScalaNLP, GATE, Apache UIMA, Snowball, MALLET, JGibbLDA, and Stanford's Core NLP Suite
Experience in Deep Learning tools like - Pylearn2, Caffe, Theano, Torch, Cuda-convnet, Deeplearning4j
Technical proficiency in languages such as R, WEKA, Pandas, Octave, Matlab, Python, Java, JavaScript, and C++
Hands-on advanced proficiency in handling and analyzing large data sets such as next-generation sequencing data
Experienced with the information technology aspects of data collection, organization, and integration
Experience with 3-5 classes of Deep Learning algorithms
Deep knowledge in optimal computational environment required for data processing, mining and machine learning
Ability to translate complex computational terminologies in such a way that scientifically trained individuals in other disciplines can readily understand their significance
Strong collaboration skills and ability to thrive in a fast-paced environment, paired with the ability to work independently and prioritize work

Research Scientist, Machine Learning Resume Examples & Samples

PhD degree in Machine Learning, Computer Science or Operations Research from a program that is recognized for machine learning advancements
Expertise with a broad range of machine learning paradigms (e.g. classification, regression, unsupervised learning, structured prediction, explore-exploit)
Expertise in Causal Analysis
Experience working in a fast-paced, high impact environment; bias for action
Ability to artiulate complex concepts, develop prototypes and invent scalable solutions; invent & simplify
Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment; deliver results
Proficiency in one or more of programming languages
A good understanding of analysis of algorithms and computational complexity is desirable

Research Scientist, Machine Learning Resume Examples & Samples

Research and develop innovative data analytics algorithms and solutions for smart industry, social innovation and the Internet of Things
Protect Hitachi’s IP through patents and other activities, and publish technical results in leading venues to establish Hitachi as a leader in big data and advanced analytics
Ph. D degree in Computer Science or related field
Strong research experience in machine learning algorithms such as classification, regression, and clustering - Knowledge of time series analysis techniques is a plus
Good programming skills and knowledge of data science tools and libraries in R, Python or MATLAB - Knowledge of big data platforms such as Hadoop and Spark is a plus
Self-motivated and passionate about solving real-world problems and building innovative systems with big data analytics
Demonstrated ability to effectively create and deliver technical communications, including patent applications, presentations, papers, and reports

Data Scientist & Machine Learning Researcher Resume Examples & Samples

Design new data products and develop new big data capabilities
Research in machine learning, data science, and artificial intelligence
Routinely use and further enhance advanced machine learning/AI and statistical learning methods and tools
Leverage the cloud and high performance computing platforms
Ph.D. degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field
Proven track record of working with big data to develop innovative data products and capabilities and extract actionable insights
Expert knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression analysis, clustering, outlier detection, novelty detection, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods
Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
Strong relationship building and collaborative skills

Data Scientist / Machine Learning Lead Resume Examples & Samples

Doctorate Degree in Computer Science, Engineering, Statistics, Math, or related disciplines
High motivation to achieve ambitious goals in a short time. Curiosity and passion for Data Science
Experience in machine learning
Experience in data analytics
Experience tackling problems involving Big Data, e.g., using the Spark/Hadoop stack
Experience using Python, R, C/C++, Java or Scala for large scale data analytics

Data Scientist Machine Learning Resume Examples & Samples

Bachelor's or preferably an MS or PhD in computer science, data mining, machine learning, statistics, math, or other quantitative discipline
Stong experience in applying statistical machine learning techniques to predictive modeling
Experience with scripting languages like Python or Ruby, etc
Experience with text mining and statistical language processing
Flucney in big data platforms - Hadoop, MapReduce, Hive, and/or Spark
4 - 8 years experience

Data Scientist Machine Learning Resume Examples & Samples

Experience with Big Data (Hadoop a plus)
Programming experience (R, Python, Java)
Proven experience with data formats, structures and common methods in data transformation (CSV, XLS, JSON, Avro, Parquet as well as in relational and NoSQL databases such as MySQL, Oracle and HBase); data sources (cloud systems, AWS, MySQL, Oracle); SQL and data manipulation; big data tools (Spark, Hadoop)
Experience using core data science tools such as R, SAS, Python, Matlab, Java; boutique machine learning tools (TensorFlow, Theano, H2O Machine Learning)

Data Scientist, Machine Learning Resume Examples & Samples

Creative application of machine learning and statistical techniques for precision health and related HLI activities including Health Nucleus and our cancer-related services
Development of new methods in machine learning and statistics
PhD in machine learning, computational biology, quantitative genomics, biostatistics, or bioinformatics
Strong familiarity with genomics
Previous experience in a start up environment

Data Scientist Machine Learning Resume Examples & Samples

2+ years (Master’s Degree) or PhD experience. Advanced degree in computer science, statistics, physics, or related quantitative field preferred
Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, text analytics, and predictive modeling
Strong skills in statistical analyses with abilities in advanced data management and statistical programming using python, R, Java, and/or other languages
Experience with the Hadoop ecosystem, Spark
Familiarity with Agile methodologies
Understanding of cloud platforms like AWS and Azure
Team-oriented (we run a meritocracy), creative, tenacious, curious, and passionate about data and data science

Senior Mgr Data Scientist Machine Learning Resume Examples & Samples

Establish and implement end to end proof of concept for data analyses across functional areas
Create innovative methodologies for data
Build proof of concept systems
Establish strategic partnerships with technical leadership across functional areas
Presenting to senior leadership as well external audience
Demonstrates the ability to create new and different solutions that align to real work problems and opportunities
Proficiency in computer programming with excellent software development skills using state-of-the-art technologies and languages (C++, Java, R, Python, and other scripting languages)
3-5 years hands on experience in machine learning
Master’s Degree required and PhD strongly preferred in Computer Science, Statistics, or a related field with focus on data analysis
Command of principles of machine learning, statistical analysis, data mining algorithms, and mathematical modeling
Demonstrated ability to use knowledge of recent techniques, and develop new methodologies
Demonstrated experience in applying Machine Learning to at least one of the areas: Computer Vision, Natural Language Analysis or text analysis, large data sets, and social network analysis
Excellent software development skills, esp. in rapid prototyping
Established publication record
Experience in machine learning on large size data using MapReduce and Hadoop preferred
Experience in health care data analytics preferred
Background in information security and privacy preferred

Data Scientist, Machine Learning & AI Resume Examples & Samples

Recommendation and Personalization
Natural Language Processing and Query Understanding
Deep Learning
Image Processing and Understanding
Text Understanding
Learning to Ranking for Search and Ads
Fraud and Abuse Detection
Large-scale Machine Learning

Applied Scientist / Machine Learning Resume Examples & Samples

Research, design, implement and evaluate novel computer vision algorithms
Work on large-scale datasets, focusing on creating scalable and accurate computer vision systems in versatile application fields
MS.c in Computer Vision, Machine Learning, or related field
3+ years of experience in understanding and ability to implement algorithms in computer vision using both toolkits and self developed code

Data Scientist, Machine Learning Resume Examples & Samples

4+ years industry experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available
Deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems and natural language processing
Proven ability to tailor machine learning solutions to business problems in a cross functional team
Strong programming skill (Python, R, or Scala preferred)
Experience productionizing machine learning model is a plus

Applied Scientist Machine Learning for new Video Services Resume Examples & Samples

5+ years software development experience coding in Java or related technologies
Experience with designing and implementing Machine Learning (ML) systems
Experience defining system architectures and exploring technical feasibility tradeoffs
Experience creating highly scalable systems
PhD in in Computer Science, Mathematics or related field
Experience building recommendation systems
Experience with online video
Experience with video advertising
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical design
Experience influencing software engineering approaches and culture within your team
Experience mentoring junior software engineers to improve their skills and make them more effective, productive software engineers

Data Scientist, Machine Learning Resume Examples & Samples

Work with, and innovate on, a broad range of machine learning techniques and statistical models
Adopt, adapt, and hack a range of technologies and techniques to arrive at a solution
Ph.D. in a quantitative field (or equivalent experience)
Five years experience working in complex computing and analytic contexts
Solid background in mathematics and statistics
Mastery of the fundamentals of machine learning and its applications
Strong engineering and coding skills in Python and/or R. Other languages a plus
Experience with distributed machine learning and computing frameworks (such as Spark, Weka or Mahout) a plus
A knack for creative problem solving and willingness to learn new technologies and skills

Data Scientist Machine Learning Resume Examples & Samples

Minimum three years of relevant work experience
Masters, PhD, or equivalent experience in a quantitative field (Computer
Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java
Exposure to SQL and relational databases
The ability to train elementary machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose
An all-around data scientist: strong statistics background, experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data
Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all stakeholder levels
Experience implementing a real-world Recommender or Ranking system
Worked with the Hadoop Ecosystem
Implemented multi-core/distributed software, preferably in a Linux environment
Experience solving real problems using machine learning techniques and with statistical rigor
Prior practical experience with the elementary machine learning models such as logistic regression and random forests, and experience with one more other areas such as: (Deep) Neural Networks, Natural language processing Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design, Latent Dirichlet Allocation