Senior Machine Learning Scientist Resume Sample

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Tatyana Ullrich
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Work Experience


Senior Machine Learning Scientist
07/2016 - PRESENT
Boston, MA
  • Hands-on experience with computer vision, machine learning techniques
  • Experience providing technical solutions for real-world imaging applications
  • Proven analytical skills and excellent mathematical background
  • Strong programming skills in C/C++, Matlab, OpenCV
  • Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
  • Apply unsupervised and supervised machine learning to characterize our catalog and improve our ability to identify and acquire content that satisfies an increasingly diverse global audience
  • Develop data-driven approaches to understand the relationship between subscribers and content
Senior Machine Learning Scientist, Security
05/2013 - 03/2016
Boston, MA
  • Expose data and model predictions in a way that augments human expertise and informs decision-making
  • MS or PhD in Computer Science, Applied Statistics, or related field
  • Meaningful experience applying machine learning to drive significant business impact, particularly in understanding user/audience behavior
  • Expertise in unsupervised and supervised machine learning techniques
  • Experience with one or more of the following is required: clustering, LDA, matrix factorization
  • Experience in applying your remarkable interpersonal and communication skills to build and strengthen relationships with technical & non-technical teams
  • High-energy self-starter with a real passion for your work, attention to detail, and a positive attitude
  • Desire and willingness to continue growing your capabilities as a data scientist

Education


Heidelberg University
2008 - 2012
Science's Degree in Computer Science

Professional Skills


  • Strong organization and prioritization skills along with outstanding written and verbal communication skills
  • Solid foundation in design, data structures and algorithms, and strong analytical and debugging skills with customer-facing products experience
  • Atleast 5yrs of experience in programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g. Python)
  • Excellent communication skills and ability to work in a collaborative environment
  • Great design and problem-solving skills, and an ability to innovate and solve challenging technical problems
  • Strong background in classical machine learning, ideally including at least five years of relevant experience, both academic and commercial
  • Experience in the field with a proven record

How to write Senior Machine Learning Scientist Resume

Senior Machine Learning Scientist role is responsible for programming, research, java, design, languages, scripting, reporting, retail, finance, security.
To write great resume for senior machine learning scientist job, your resume must include:

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

Contact Information For Senior Machine Learning Scientist Resume

The section contact information is important in your senior machine learning scientist 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 Senior Machine Learning Scientist Resume

The section work experience is an essential part of your senior machine learning scientist 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 senior machine learning scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular senior machine learning scientist position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Senior Machine Learning Scientist resume experience can include:

  • Strong coding experience. Experience with open-source ML packages (specifically sklearn, TensorFlow/Keras/PyTorch, H2O)
  • Handling XML data, and experience using nix systems, open source software and libraries
  • 2+ yrs. experience modifying standard algorithms (e.g. changing objectives, working-out the math, implementing and scaling)
  • Experience in mentoring team members, and guiding them on machine learning and data modeling application
  • Experience in the areas of machine learning, deep learning, information retrieval, natural language processing or data mining
  • Deep experience in data analysis, signal processing, modeling, and machine learning is required

Education on a Senior Machine Learning Scientist Resume

Make sure to make education a priority on your senior machine learning scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your senior machine learning scientist 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 Senior Machine Learning Scientist Resume

When listing skills on your senior machine learning scientist 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 senior machine learning scientist skills:

  • Strong algorithm design and programming skills in at least one low level language like C++/Java, and scripting languages like Python/R/Scala
  • Demonstrates fiscal responsibility by effectively using CDSC resources
  • Solid experience in developing learning methodologies and building machine learning systems
  • Industry experience with a proven track record of leveraging statistical modeling using large amounts of data to drive significant business impact
  • Proven ability to implement and operate at large scale
  • Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of your work to all types of business partners

List of Typical Experience For a Senior Machine Learning Scientist Resume

1

Experience For Senior Machine Learning Scientist, Security Resume

  • Consistent experience with documenting, synthesizing, and communicating results
  • Master in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field or equivalent years of experience
  • Commercial experience working with machine learning algorithms such as neural networks (CNN), decision trees, linear regression, SVM, etc
  • Solid understand of fundamental statistics
  • Collaborate with business partners to develop metrics that describe how effective and efficient our catalog is for our current (& future) subscribers
  • Commercial experience with Convolutional Neural Networks(CNN), Decision Trees, Linear Regression
2

Experience For Senior Machine Learning Scientist Resume

  • PhD or MS in computer science or equivalent quantitative fields with 3+ years industry experience
  • Proven track records of independent and high-quality research, including publication records in top tier venues (NIPS, ICML, AISTATS, CVPR, etc)
  • Independently deliver effective solutions to problems
  • Experience using R/Python and SQL in a Linux/UNIX environment
  • Hands on experience to build applied machine learning models
3

Experience For Senior Machine Learning Scientist, Security Resume

  • Lead research projects from idea generation and prototyping through validation within the Wellington investment community and deployment into production
  • Experience in developing software in an Agile SDLC
  • Strong background in Computer Vision, Pattern Matching, or Medical Applications
  • Experience with Spark, Pig and big data technologies
  • Combined academic and research experience
4

Experience For Senior Machine Learning Scientist Resume

  • Significant hands-on experience and familiar with Python
  • Build and operate services that deliver millions of recommendations per second
  • Develop new statistical models / machine learning techniques for optimizing streaming quality in our product
  • Work with academic collaborators to understand needs and implement cutting edge algorithms with machine learning
  • Debug and correct your modeling assumptions though testing
  • Develop machine learning models and methods that are designed for high-impact to our content partners’ decision-making
  • Apply machine learning to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability
  • Understand and be able to leverage core concepts of video processing and/or audio processing
5

Experience For Senior Machine Learning Scientist, Security Resume

  • Drive independent investigations resulting in shipping product code, patents, and publications
  • Master or PhD in machine learning, applied mathematics or a related engineering field
  • Advise quantitative investment teams who are incorporating machine learning techniques into their research process
  • Work with software engineering teams to deliver production systems with your ML models
  • MS in Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics or another related field
6

Experience For Senior Machine Learning Scientist Resume

  • Deliver with limited guidance, working on problems that are not structured
  • Proficiency with data systems, ML Tools, and at least one programming language. Essentially, focus on the "Applied" side of things
  • Use statistical and machine learning techniques to create scalable solutions for business problems
  • Research and implement novel machine learning and statistical/quality control approaches
  • Partner closely with engineering teams to test and deploy models at scale
7

Experience For Senior Machine Learning Scientist, Security Resume

  • Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise
  • Expertise in mathematical optimization and supervised machine learning
  • Proficiency in machine learning frameworks like TensorFlow, Caffe, Theano or similar technology
  • In a rapid prototyping environment such as R or Python, or in C / C++
  • Collaborates well in a team and sensitive to clients' needs, while developing warm relationships
  • Help to identify and hire additional machine learning scientists
  • Guide machine learning projects to completion
  • Stay current on the emerging directions in ML-technologies and support the development of the Global ML roadmap
  • Proficiency in one or more machine learning frameworks such as TensorFlow, Caffe, Torch, SKLearn, DLIB, etc
8

Experience For Senior Machine Learning Scientist Resume

  • In a rapid prototyping environment such as R or Python, or in C / C++
  • M.S. or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
  • Be “entrepreneurial” and collaborate with business partners to identify potential high-value applications of data science to content development
  • Prioritize existing and upcoming problems based on business needs, impact, and costIndependently deliver effective solutions to problems lacking pre-existing structured data sets on a tight schedule
  • Work with product development engineering teams to transition solutions from prototype to production
9

Experience For Senior Machine Learning Scientist, Security Resume

  • Proven track record of leveraging large amounts of data to solve real-world problems, particularly in the fields of computer vision, NLP, and/or social media analytics
  • Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems
  • Deliver real world production systems at AWS scale
  • Analyze and extract relevant information from large amounts of data and derive useful insights
  • Deep expertise in at least one applied science discipline
  • Work closely with operations staff to optimize various business operations,
  • Master’s required in highly quantitative field (CS/ML, Statistics, Mathematics, Economics, Physics, etc)
  • Self-driven with a passion for your work, attention to detail, and a positive attitude
10

Experience For Senior Machine Learning Scientist Resume

  • Develop ML models to facilitate catalog optimization - striving to answer the question, how can we better inform our content decision-making based on the state of our current and future catalog?
  • Collaborate with analytics & UX engineers to design a coherent set of tools that inform decision-making through intuitive displays of data & ML outputs
  • MS or PhD in Computer Science, Applied Statistics, Mathematics, or related field
  • Relevant experience applying statistical techniques to drive significant business impact, particularly in the areas of catalog/portfolio optimization and operations research
  • Proficient at translating unstructured business problems into an abstract mathematical framework, particularly in the development of metrics/models that combine human expertise and data science to align with company strategy

List of Typical Skills For a Senior Machine Learning Scientist Resume

1

Skills For Senior Machine Learning Scientist, Security Resume

  • Strong and comprehensive background in machine learning, including various learning methods, probabilistic modeling and inference, optimization, etc
  • Experience with solving real-world machine learning problems, in particular in query-understanding or natural-language text extraction systems
  • Experience in discovering, measuring, and improving performance of ML/AI projects through the full project lifecycle
  • Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
  • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Hands-on experience working in data science and/or learning using models and methods such as random forests, SVMs or Bayesian classification
  • Experience building robust metrics for machine learning performance evaluation, A/B testing, statistical evaluation of experimental data, etc
  • 3+ yrs. of industry experience applying fundamental machine learning algorithms to solving complex problems
  • Experience of working with live data (data cleaning, data visualization and modeling)
2

Skills For Senior Machine Learning Scientist Resume

  • Experience with documenting, synthesizing, and communicating results
  • Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques
  • Post-PhD experience working within software engineering teams
  • Experience designing and implementing efficient large-scale distributed systems
  • Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects)
  • O Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects)
  • Industrial or research experience in predictive modeling, data science, and machine learning
  • Experience building machine learning models
3

Skills For Senior Machine Learning Scientist, Security Resume

  • Experience managing or leading teams of engineers and/or scientists
  • Experience in building natural language processing systems
  • Experience working with large data sets in a distributed computing environment such as Hadoop or Spark
  • Experience in data mining/predictive modeling
  • Experience in building speech recognition or natural language processing systems
  • Experience in building speech recognition and natural language processing systems
  • Experience working in the learning field, recommendations and/or personalization
4

Skills For Senior Machine Learning Scientist Resume

  • Experience leading data science, artificial intelligence (AI), and/or machine learning teams
  • Solid background in statistical learning techniques for Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs etc
  • Experience with common machine learning techniques such as linear/logistic regression, random forest, SVD, neural networks, deep learning, regularization, etc
  • Hands-on experience in machine learning, predictive modeling, and analysis
  • Hands-on experience programming in R, Java, C#, C++ or other similar programming languages
5

Skills For Senior Machine Learning Scientist, Security Resume

  • Experience building deep learning models
  • Experience in any of the following fields: Marketing, NLU/NLP, Fraud detection, Personalization/recommendations
  • Experience building practical machine learning models with applications to real-world problems
  • Constantly experimenting with changes to the underlying algorithms and models to deliver relevant content to a wide variety of customer experiences
  • Hands-on experience in machine learning, predictive modeling and analysis
  • Experience in developing and delivering end-to- end solutions
  • Industrial or research experience in predictive modeling, data science, and machine learning
6

Skills For Senior Machine Learning Scientist Resume

  • Experience in using Python, R, SAS, Matlab, Spark, or other statistical/machine learning software
  • Hands on experience building machine learning models
  • Industry experience in machine learning and large data analysis
  • Experience working with real world distributed systems
  • Experience with programming languages such as C/C++, Java, Perl or Python
  • Experience building predictive models in a production environment
7

Skills For Senior Machine Learning Scientist, Security Resume

  • Practical experience applying ML to solve complex problems
  • Experience with deep-learning systems like MXNet, Keras, TensorFlow, Theano, etc
  • Experience in one or more major programming languages (Python, Java, C++, C, Perl/Ruby, etc.)
  • Experience in fundamental ML and Deep Learning
  • Experience working on web-scale high-performance, highly-available and scalable distributed systems
  • Strong knowledge of the underlying ML techniques and algorithms development
  • Productionize prototypes with the support of skilled engineers to make reliable, scalable systems
  • Relevant experience in industry and/or academia
  • Experienced programmer in C, C++, Python, Labview
8

Skills For Senior Machine Learning Scientist Resume

  • Experience with SQL or NoSQL databases
  • Experience with information and application security
  • Experience with time-series forecasting
  • Strong knowledge of model design, selection, and hypothesis testing
  • Masters in machine learning (or in a highly related area) or equivalent experience
  • Experience with general purpose programming language (C/C++/C#/Java/Python etc.)
  • Solid background in machine learning, computational biology, and molecular biology
  • Strong track record to design, prototype, experiment, and implement machine learning models (such as personalized recommendation models)
  • Proficiency with SQL and first-hand experience in Redshift, Spark or other big data processing engine
9

Skills For Senior Machine Learning Scientist, Security Resume

  • Experience implementing NLP/NLU
  • Experience with deep learning toolkits and frameworks
  • Hands-on experience applying theoretical models in an applied environment
  • Experience with Linux/Unix tools
  • Strong knowledge of statistics and probability
  • Experience with SQL/noSQL databases to manage and analyze large data sets
10

Skills For Senior Machine Learning Scientist Resume

  • Experience with time-series analysis
  • Distributed programming experience
  • Machine Learning / NLP experience
  • Distill problem definitions and constraints from ambiguous requirements, and to deal with competing objectives and priorities
  • Solid track record of thought leadership and contributions that have advanced the field

List of Typical Responsibilities For a Senior Machine Learning Scientist Resume

1

Responsibilities For Senior Machine Learning Scientist, Security Resume

  • High-energy self-starter with a passion for your work, attention to detail, and a positive attitude. Desire and willingness to continue growing your capabilities as a data scientist
  • Experience or working knowledge of NLP and Deep Learning
  • Proven track record of delivering successfully within aggressive timelines
  • Practical experience applying ML to solve complex problems
  • Experience in machine learning, data science, analytics, or related
  • Strong publication record ‘
  • Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design
2

Responsibilities For Senior Machine Learning Scientist Resume

  • Experience with digital media, online advertising or retail
  • Deep experience working with probability, statistics, time-series and cross-sectional analysis, especially with very large data sets
  • Experience working with financial datasets
  • Experience with Apache Spark, Pandas, scikit-learn
  • Combined academic and industry experience
  • Experience in data analysis, statistical metrics, and measurements for search engines
3

Responsibilities For Senior Machine Learning Scientist, Security Resume

  • Working with our team on site as well as traveling to meet collaborators at multiple sites in the Boston area
  • PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
  • Passion for solving interesting and meaningful real-world problems using principled techniques and practices
  • Consistent track record of documenting, synthesizing, and communicating results
  • Six or more years of applying deep learning/statistical algorithms/models to solving real-world problems in industry
  • Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage)
  • Familiarity with machine learning techniques, scientific thinking, and the ability to invent
4

Responsibilities For Senior Machine Learning Scientist Resume

  • PhD with specialization in natural language processing or machine learning
  • Proficient using R, Python, or other equivalent statistics and machine learning tools
  • Deep understanding of probability, statistics and machine learning theory and standard methodologies
  • Building machine learning models deployed to production environments
  • Proficient using R, Python, or other equivalent statistics and learning tools
  • A clear passion for learning emerging technology independently and continuously
  • With Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
  • Awareness and understanding of emerging research and technologies
  • A bias toward engineering excellence and delivering quality at scale
5

Responsibilities For Senior Machine Learning Scientist, Security Resume

  • Content categorization assigning semantic labels to records expressing what the record is about
  • Lead research projects aimed at using clinical data to improve healthcare
  • Conceptualize and develop machine learning-empowered products
  • Interface with physicians to help answer important clinical questions based on medical imaging, pathology, and electronic health record data
  • Understand business and technical challenges and transform them to a machine learning / analytics problem
  • Write concise, well documented modeling code
  • Share knowledge in state-of-the-art statistics and machine learning research applicable to our problem space
  • Partner with engineering teams’ productize enhancements and new ML algorithms for large-scale application
  • Stay current on the emerging directions in AI-technologies and support the development of the Global AI roadmap
6

Responsibilities For Senior Machine Learning Scientist Resume

  • Fluency in a high-level data analysis and modeling language such as Python, R, Java and/or Scala
  • Architect ML-based optimizations to existing systems and processes within our data science stack
  • Mentor other Investment Data Science team members on machine learning techniques
  • PhD in Machine Learning, Computer Science, Statistics, Operations Research, or related field
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Familiarity with programming languages such as C/C++, Python, Java or Perl
  • PhD in Machine Learning, Data Science, Computer Science, Statistics, or Applied Mathematics
7

Responsibilities For Senior Machine Learning Scientist, Security Resume

  • MS in Data Science, Machine Learning, Statistics, Computer Science, Applied Math or equivalent highly technical field
  • PhD in Data Science, Machine Learning, Statistics, Computer Science, Applied Math or equivalent highly technical field
  • Knowledge of building products and/or services or AWS
  • Facility with SQL-like query languages to do data extraction, transformation, and loading
  • Comfort with at least one additional programming language, for example R, Scala, Java, or C++
  • PhD in Artificial Intelligence, Computer Science (Machine Learning), Physics, Statistics, or Applied Math
  • Solve problem solving ability
8

Responsibilities For Senior Machine Learning Scientist Resume

  • In one or more major programming languages (Python, Java, C++, C, Perl/Ruby, etc..
  • Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Highly comfortable in one of Tensorflow, PyTorch, or Caffe2
  • Collaborate with business owners and engineers / developers to design and deploy complete solutions that comprise model building, runtime scoring and performance monitoring
  • Capture and manipulate large volumes of data; build new and improved techniques and/or solutions for data collection, management, and usage
  • Communicate results in a comprehensible manner to all levels of the company (field teams up to Snr. Management)
  • Become an authority in our geography and technology stack
  • Communicate and collaborate with our team of data scientists and externally
  • Guide the technical approach for the design and implementation of successful models and algorithms in support of teams across Amazon which leverage geo-spatial data
9

Responsibilities For Senior Machine Learning Scientist, Security Resume

  • Collaborate effectively with other data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation
  • Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives
  • Able to use machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
  • Machine learning research practice or A.I
  • Knowledge of machine learning theory and practice
  • Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results
10

Responsibilities For Senior Machine Learning Scientist Resume

  • Mentor more junior members of the team in terms of research and professional development
  • Collaborate effectively with other machine learning and data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation
  • Use machine learning techniques to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment
  • Machine learning research or AI practice
  • Understand span of control to escalate or delegate issues to appropriate levels
  • Be entrepreneurial and collaborate with business partners (for example, content planning and analysis team) to identify potential high-value applications of machine learning technology to content demand prediction, valuation and opportunity discovery

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