Scientist Machine Learning Resume Sample

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Ryley Jacobi
5666 Abbott Stravenue,  Detroit, MI
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Work Experience


Senior Mgr Data Scientist Machine Learning
12/2017 - PRESENT
San Francisco, CA
  • Use the autonomy teams have and test hypotheses early and often on suitable parts of our traffic
  • Actively contribute to taking Data Science at Booking.com to the next level
  • Experience in optimization (Integer/Linear/Quadratic/Nonlinear Programming/Multi-objective/Stochastic)
  • Excellent analytical and interpersonal skills and can do attitude
  • Work with business units to commercialize the successful proof-of-concepts
  • 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
  • Able to obtain work authorization in the US beginning in 2018
  • Research and/or work experience in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision
Research Scientist Machine Learning
08/2010 - 06/2017
Los Angeles, CA
  • Knowledge in Java or C++, Perl, PHP or Python
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
  • Develop, implement and validate innovative medical image reconstruction technologies and algorithms employing modern tools of machine learning, deep learning and convolutional neural networks
  • Collaborate in interdisciplinary projects with our business partners to transfer research results into tailored reconstruction solutions of high clinical relevance
  • Balance the clinical, technological and commercial challenges alike related to the advancement of complex technical medical systems
  • Develop and drive your own ideas for technological advances in the above and adjacent domains
  • Design, implement and validate innovative medical image analysis technologies and algorithms utilizing modern approaches from the domains of machine learning and advanced data analytics
  • Transfer research results into solutions of clinical practice
Data Scientist, Machine Learning
02/2005 - 03/2010
Detroit, MI
  • Establish and expand academic and clinical research collaborations
  • Balance clinical, technological and commercial challenges alike related to the advancement of complex technical medical systems
  • Develop and drive of own ideas for technological advances in the above and adjacent domains
  • Extending company’s data with third party sources of information when needed
  • Creating automated machine learning based systems and constant tracking of its performance
  • Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow
  • Deliver Machine Learning (ML) and Artificial Intelligence (AI) expertise in Nestlé R&D projects

Education


National Hispanic University
2001 - 2005
Science's Degree in Computer Science

Professional Skills


  • Excellent communication and presentation skills, including experience in communicating across discipline boundaries
  • Demonstrated experience fitting, tuning and testing text classification models is strongly desired
  • Good programming skills and/or experience in scripting languages (Python, R or Java)
  • Programming skills in Python, Java, or closely related object-oriented language
  • Good scripting and programming skills in Python or Java
  • Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure)
  • Working with the Target and Translational Science department and across RIA to discover and validate biomarkers and build respiratory disease knowledge

How to write Scientist Machine Learning Resume

Scientist Machine Learning role is responsible for programming, java, languages, python, software, research, scripting, modeling, training, integration.
To write great resume for scientist machine learning job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Scientist Machine Learning Resume

The section contact information is important in your scientist machine learning resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Scientist Machine Learning Resume

The section work experience is an essential part of your scientist machine learning resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous scientist machine learning responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular scientist machine learning position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Scientist Machine Learning resume experience can include:

  • Experience in the job offered or 2 years of experience developing image processing or computer vision algorithms in C++ or MATLAB
  • Experience testing and validating software releases
  • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations
  • Hands-on experience on machine learning and deep reinforcement learning, specialized in data-driven machine learning, predictive models, and NLP
  • Experience implementing machine learning and computer vision algorithms using OpenCV
  • Experience programming software using commercial embedded real-time operating systems

Education on a Scientist Machine Learning Resume

Make sure to make education a priority on your scientist machine learning resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your scientist machine learning experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Scientist Machine Learning Resume

When listing skills on your scientist machine learning resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical scientist machine learning skills:

  • Discover effective solutions to complex problems. Strong skills in data-structures and algorithms
  • Phenomenal and proven problem solving and analytical skills; dive deep
  • Strong math and programming skills
  • Excellent English communication skills; the ability to convey your message to team members and other stakeholders
  • Programming proficiency and experience with relevant software tools such as R, Python and MATLAB, version control and databases (SQL as well as NoSQL)
  • Experience implementing and deploying Machine Learning (ML) applications

List of Typical Experience For a Scientist Machine Learning Resume

1

Experience For Research Scientist Machine Learning Resume

  • Experience developing and tracking software plans and results using Rally or Jira Agile software development tools
  • Experience with machine learning techniques and/ or predictive modeling algorithms
  • Experience defining and operationalizing predictive models into operational systems
  • Experience developing software using Linux OS and QT application framework
  • Experience using source code versioning and revision control systems
  • Experience using static code analysis and profiling tools
  • Experience using 3D co-ordinate frames and transformations, vector mathematics, matrix algebra, probabilistic inference and modeling
  • Experience debugging software using GDB
2

Experience For Data Scientist Machine Learning Resume

  • Experience building software using the Jenkins continuous integration tool
  • Experience developing software for in-vehicle infotainment systems or in-vehicle displays
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Working with drug discovery projects to answer key scientific questions
  • Make AZ scientifically visible by publishing scientific papers and presenting data at conferences
3

Experience For Data Scientist, Machine Learning Resume

  • Proactively propose and drive innovative ideas/projects/methods in same area and identify opportunities to leverage them in different product categories
  • Review and share latest developments in the fields of ML and AI, and drive the development of novel approaches if relevant
  • Support group leader in strategy development of ML and AI and guide other team members in this field of expertise
  • Interact with key business stakeholders to identify business needs and participate in expert networks to promote cross-fertilization among the different Nestlé businesses
  • Provide accurate and on-time support to NRC leadership team and business partners with effective (quality, cost and on time) and sustainable solutions
  • Collaborate with a team of user experience designers, engineers, research scientists, and interns
  • Formalize new capabilities in the identified business areas to improve current methods
  • Develop Technical Documentation and support project presentations
  • Understand a problem statement and implement analytical solutions & techniques independently or with minimal supervision
4

Experience For Senior Mgr Data Scientist Machine Learning Resume

  • Work and collaborate with other teams to deliver and create value for clients
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly
  • Conceptualize, design and deliver high-quality solutions and insightful analysis
  • Deliver AIML based solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
  • Experience with tools such as SAS, Python, or R
5

Experience For Research Scientist, Machine Learning Resume

  • Intermediate to expert level proficiency in at least one of R and Python
  • Exercise leading edge skills working with large data volumes to predict customer behavior using optimization, segmentation, machine learning and data mining techniques
  • Work with internal clients to make data driven business decisions, translating business imperatives into data centered questions to be able to quantify and evaluate them
  • Design and introduce new processes and solutions to drive sophisticated BI processes, leveraging the output of the advanced analysis
  • Deliver on key advanced analytical projects that directly support key business drivers
6

Experience For Automated Driving Research Scientist Machine Learning Resume

  • Work in close collaboration with members of the Bioinformatics/Data Science function to validate knowledge extracted from big omics-datasets through robust biomarker analysis in human tissue
  • Keep up to date with advances in AI/ML methods in Systems Biology and Systems Medicine
  • Ensure that results are scientifically robust and documented
  • Work compliantly and with high ethical standards with patient level data
  • Drive innovation and scientific excellence in Bioinformatics/Data Science through internal scientific development and external collaborations
7

Experience For Data Scientist & Machine Learning Researcher Resume

  • Work with raw data (including big data), knowledge of preprocessing procedures and ability to prepare data for modeling; experience in feature engineering
  • Experience with distributed computing environments (including YARN, Spark and Hadoop) and cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure)
  • Knowledge of architectural design
  • Strong skills in statistical analyses with abilities in advanced data management and statistical programming using python, R, Java, Scala and/or other languages
  • High initiative, creativity, persistence, interpersonal skills, ownership of work, interest in contributing to US national security, and a strong focus on producing tangible results
  • BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
  • Broad experience applying ML methods such as random forests, SVMs, penalized regression, clustering, dimensionality reduction in a systems biology or systems medicine context
8

Experience For Applied Scientist Machine Learning for new Video Services Resume

  • Industry experience in advanced analytics (up to 3 years)
  • Track record of applying ML to projects in drug discovery, development or an academic setting
  • Proven deep knowledge of at least one of the following areas: deep learning, natural language processing, Bayesian methods (probabilistic programming, Gaussian processes)
  • Flexbile Spending Accounts
  • Development of algorithms
  • Healthcare Data exposure

List of Typical Skills For a Scientist Machine Learning Resume

1

Skills For Research Scientist Machine Learning Resume

  • Post-doc experience or otherwise relevant Data Science research experience
  • Research experience in machine learning, deep learning, or reinforcement learning
  • Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
  • Experienced in analyzing complex datasets and building mathematical models; also in a practical context
  • Experience in working with Linux computing environment and use of command line tools like sed/awk
  • Experience in formulating scientific hypotheses and translating them into project proposals that answer business needs
  • Experience in building & managing relationships with key internal & external stakeholders at senior level
  • Solid knowledge of medical imaging physics, the theory of inverse problems and tomographic image reconstruction
  • Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
2

Skills For Data Scientist Machine Learning Resume

  • Experience with general machine learning (use to build AI systems)
  • The experience of working in on one or more domains
  • Strong quantitative background with a PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering or similar
  • Experience in quick prototyping and scientific research methods
  • Experience in working with databases (relational, NoSQL)
  • Research & Development on how to improve customers’ experience, by using our vast amount of data
  • Relevant experience in industry and/or academia
3

Skills For Data Scientist, Machine Learning Resume

  • Demonstrated ability to take academic or commercial models and concepts (including from other fields) and translate them into math or code to solve problems
  • Prior hands on use of Hadoop
  • Experience in pharmaceutical R&D
  • Developing and implementing machine learning models with well organised and documented code
  • Contributing to and leading AI/ML projects for the Target and Translational Science department while building knowledge of AI/ML and capabilities across RIA
  • Building or internalising appropriate algorithms and techniques to answer defined biological questions
4

Skills For Senior Mgr Data Scientist Machine Learning Resume

  • Tracking Systems (GPS)
  • Racking Systems (GPS)
  • Contribute to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts
  • Perform applied research in related areas including machine learning, deep learning, NLP, data-driven simulation, and optimization
  • MS or PhD in computer science, computer engineering, or any other relevant disciplines with a background in machine learning and deep reinforcement learning
  • Proficiency in modern programming languages and massive parallel processing (C++, CUDA, Python etc.)
  • M.S. or PhD in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields
  • Data engineering (pipelines, data wrangling/transformation)
  • CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
5

Skills For Research Scientist, Machine Learning Resume

  • Proficient in Python and deep learning frameworks including Tensorflow, Pytorch, and Caffe
  • Broad experience in machine learning, deep learning and convolutional neural networks and familiarity with deep learning frameworks (e.g. Theano, Caffe, TensorFlow, CNTK, or Torch)
  • Comfortable explaining complex analytical and technical content to various audiences
  • PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Machine Learning (especially applied to large imagery collections and overhead imagery from satellites/planes/other platforms)
6

Skills For Automated Driving Research Scientist Machine Learning Resume

  • MS in Computer Vision, Machine Learning, or related field
  • Knowledge of civil/structural engineering
  • Knowledge of existing AEC workflows
  • Performance profiling and characterization
  • Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
7

Skills For Data Scientist & Machine Learning Researcher Resume

  • Grasp at databases including RDBMS, NoSQL, MongoDB etc
  • Transform large, messy data into an ongoing source of actionable intelligence
  • Create new capabilities, leading to new products and businesses in areas like personalized recommendation technologies, analytics and data visualization
  • PhD in the field of Mathematics or Statistics with a focus on Machine Learning, Artificial Intelligence and/or Big Data
  • Develop the next generation of Autodesk applications for AEC industry using novel deep RL algorithms
  • Contribute to writing research papers
8

Skills For Applied Scientist Machine Learning for new Video Services Resume

  • Able to obtain work authorization in the US beginning in 2019
  • Conduct Big Data Analysis by coordinating with Program Operations team
  • Develop Machine Learning algorithms to detect unusual functional patterns
  • Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  • A genuine passion for technology
  • In-depth proficiency in machine learning, in particular deep learning and neural networks with practical experience in deep learning frameworks (e.g. Theano, Caffe, TensorFlow, CNTK, or Torch)
  • Excellent knowledge in the fields of numerical methods, optimization methods and data analytics
  • Proficiency in modern programming languages (C/C++, CUDA, Python etc.)
9

Skills For Data Scientist, Machine Learning & AI Resume

  • Prior experience with a few of the following models: Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation
  • B.S. in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields
  • Deep knowledge of machine learning, statistics and/or mathematical optimization
  • Produce creative and analytical solutions based on clear and thorough analyses of complex processes and business relationships
  • Energetic and success-oriented problem solver
10

Skills For Applied Scientist / Machine Learning Resume

  • Independent work ethic, with integrity,loyalty, and a positive “can-do”- attitude
  • The opportunity to work with a world class team of talented data scientists with a strong background in machine learning, and who are extremely passionate about solving real-world applied problems in the various business domains
  • A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in machine learning and data mining on real world datasets
  • We encourage applications from a broad range of domain expertise. Strength in one or more of these areas is desired
  • Change Detection (especially in noisy spatially distributed signals)
  • NLP for large text corpora
  • Proficiency in R and/or Python
  • Expertise in the following: optimization, probability theory, queuing theory, game theory, simulation, decision analysis, stochastic models, system dynamics, forecasting and mathematical modeling
  • $2,000 yearly employee travel coupon

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