Machine Learning Scientist Resume Sample
Brandon Lakin
76338 Eda Views,
New York,
NY
+1 (555) 794 1654
Work Experience
Principal Machine Learning Scientist
05/2017
-
PRESENT
Detroit, MI
- Assist in designing and building out a data analysis environment with Hadoop
- Integrate R (and RHadoop) into the analysis workflow
- Provide creative and useful analysis for our retail customers. Find data that is predictive in their businesses
- Experience using nix systems, open source software and libraries
- Strong programming skills including experience in Java and other object-oriented programming (C++, Python, …)
- Experience with large data sets and related technologies, e.g., Hadoop, Spark
- Experience with SQL, R, Matlab
Machine Learning Scientist
03/2011
-
12/2016
Chicago, IL
- Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
- Conducts data analyses with the appropriate statistical approach (regressions, linear and non-linear correlation, entropy, t-test, F-test, etc.)
- Identifies the needed data, their underlying structure (distribution, variable independence, outliers, etc.), and treatment of missing value
- Recognizes the need of using Feature Selection techniques (correlation, high-dimensionality, over-fitting, etc.), and is knowledgeable of the state of the art on this field
- Is an expert in ML. S/he is not satisfied by using a “ML package”, but wants to understand the reason why a model would or would not work for a given data set and business problem
- Would be comfortable if an MVP has to be delivered (and not the “perfect model”) and is able to create a model that satisfies the business needs even though it implies a non-optimal theoretical “accuracy” of the model
- Partners with engineering to productionize end-to-end model training and prediction workflows
- Builds highly scalable and efficient tools for modeling tasks
- Understands business goal and metrics to be optimized, and maps them to scientific goals and metrics
Machine Learning Scientist Intern
12/2007
-
12/2010
Los Angeles, CA
- Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
- Analyzing customer data and addressing customer pain points
- Conducting and coordinating research leading to improved accuracy of Alexa's ASR and/or NLU capabilities
- Hiring and developing researchers
- Programming skills sufficient to extract, transform, and clean large (multi-terrabyte) data sets in a Unix/Linux environment
- PhD in machine learning, statistics or a related field
- Publications in major conferences and/or journals
- Experience with C#, Java or Python
- Great design and problem solving skills, with a strong bias for architecting for performance, scalability, usability, security, and reliability
Education
Westfield State University
2001 - 2006
Science's Degree in Computer Science
Professional Skills
- Strong skills and experience with programming in SQL, Hive, Pig, R, SAS macros and familiarity/experience with AWS
- Demonstrated strong problem solving skills in analysis
- Strong technical skills in programming. Especially writing production quality code
- Strong development skills in programming languages such as C/C++, Python or Java
- Strong object-oriented design and coding skills (C/C++ and/or Python on a UNIX or Linux platform)
- Contribute to machine learning research and design and develop advanced prototypes. Excellent analytical, problem solving and organizational skills
- Strong object-oriented design and coding skills (C/C++ and/or Python on Linux platform)
How to write Machine Learning Scientist Resume
Machine Learning Scientist role is responsible for programming, python, design, coding, java, languages, linux, software, research, reliability.
To write great resume for machine learning scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Machine Learning Scientist Resume
The section contact information is important in your 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
- Telephone number
Work Experience in Your Machine Learning Scientist Resume
The section work experience is an essential part of your 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 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 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 Machine Learning Scientist resume experience can include:
- A "can do" proactive attitude, high energy, and creativity are required along with excellent organizational skills and the ability to multi-task
- Good Communication and data presentation skills
- Excellent communication skills with both technical and business people. Ability to speak at a level appropriate for the audience
- Experience developing experimental and analytical plans for data modeling processes, using strong baselines, and determining causal relations
- Skills with Java, C++ (or other high-level programming language) as well as Python (or similar scripting language)
- Creative problem solving; independent (and team!) thinking; great communication skills
Education on a Machine Learning Scientist Resume
Make sure to make education a priority on your 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 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 Machine Learning Scientist Resume
When listing skills on your 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 machine learning scientist skills:
- Strong programming skills, at least proficiency with a low level language like C++/Java, and scripting languages like Python/R/Scala
- Excellent implementation skills in Java, C++ (or other high-level programming language) as well as Python or similar scripting languages
- Strong knowledge and skills in rapid prototype programming languages, such as Python and Java
- Strong technical and programming skills
- Demonstrated coding skills
- Strong, object-oriented design and coding skills (C/C++ and/or Python on a UNIX or Linux platform)
List of Typical Experience For a Machine Learning Scientist Resume
1
Experience For Principal Machine Learning Scientist Resume
- Experience of working with live data (data cleaning, data visualization and modeling)
- Solid understanding of statistics, machine learning, and deep learning algorithms and techniques is required
- Relevant research experience in planning algorithms and systems for wheeled vehicles, including the development of planning systems
- Experience applying machine learning in industry or post-doctoral research
- Experience in developing data-driven predictive modeling and analysis in MT, NLP or other related language technology areas
- Strong fundamentals in theoretical machine learning including the math behind it
- Proven ability to relate to and solve business problems through machine learning, data mining and statistical algorithms
2
Experience For Machine Learning Scientist / Senior Scientist Resume
- Solid understanding of machine learning, algorithms and computational complexity
- Experience applying statistical techniques to solve real business problems
- Experience in design and problem solving
- Strong problem-solving and ability to connect dots
- Hands on experience to build applied machine learning models
3
Experience For Big Data Machine Learning Scientist Resume
- Hands-on experience in predictive modeling and analysis
- Experience developing software in C++ or Python
- Experience using notebook applications
- Experience in predictive modeling and analysis for education domain
- A MS or Ph.D. in computer-science or related field with a strong record of scholarship or entrepreneurship
- Experience in system development in Spark and MLlib
4
Experience For Applied Machine Learning Scientist Resume
- Demonstrated technical leadership in fields relevant to the group’s core capabilities
- Ph.D or Masters and equivalent work experience
- +3 years recent Java or C++ experience
- +2 Post-doc or industry experience
- +3 years recent Java, C++ or Python experience
- +2 years Post-doc or research experience in industry
- Industry experience in Robotics
- Experience with ML tools to build models and analyze data. (e.g. r, Python, Matlab, scikit-learn)
5
Experience For Machine Learning Scientist Intern Resume
- MS or higher in Computer Science or related technical field or BS with 2+ years of applied experience
- Experience with one or more ML framework, such as Torch, Caffe, Theano, TensorFlow
- Strong focus on applied tasks
- PhD +2 years Post-doc or industry experience
- Adapting and applying existing machine learning techniques to omics datasets
- Developing novel machine learning methods for understanding and organizing unstructured datasets
- Designing, developing, and maintaining tests framework for machine learning code
6
Experience For Senior Data & Machine Learning Scientist Resume
- Delivering into production key machine learning and compute vision solutions while inventing and building algorithms from the ground up
- Working knowledge of existing machine learning and probabilistic programming infrastructures (e.g. Theano, TensorFlow, PyTorch)
- Analyzing and understanding large amounts of Amazon’s historical business data for personalized product recommendations and search relevancy
- Taking academic work and applying it to our customer’s problems
- Supporting these groups to use machine learning as a solution to many of our projects
7
Experience For Machine Learning Scientist Senior Resume
- Writing well-crafted, maintainable, scalable, and performant machine learning code
- Coding, debugging, maintenance and documentation of software components
- Contributing to and leading AI/ML projects for ADPE
- Building or internalising appropriate algorithms and techniques to answer defined biological and technical questions
- Mentoring a team of research scientists with backgrounds in machine learning, computer vision, mathematics, and computer science
- Processing of data from different sources (medical images, metadata, electronic medical record, reports, etc.)
- Use Deep Learning to push forward the state-of-the-art in quality text and image processing for machine learning models
8
Experience For Robotics & Machine Learning Scientist Resume
- Implement machine learning models in production using various in house and on cloud technologies available to the machine learning team
- Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions for the business problems
- Use Deep Learning to optimize large-scale machine learning algorithms with thousands of parameters
- Implement code that leverages machine learning, statistical mathematics, computational geometry and parallel computing in the creation of its applications
- Actively participate in pro-active software planning, development and testing
- PhD required, ideally in Machine Learning or Computer Science. PhD in math, engineering, or statistics is also acceptable
- Innovate, model, design and develop advanced clinical algorithms, mainly based on machine learning/deep learning
- Research and implement statistical modeling techniques and machine learning to drive business decisions on product design, features, and field reliability
- Mentor and support the training of technical and non-expert colleagues in data science and machine learning
9
Experience For Data Analytics / Machine Learning Scientist Resume
- Go beyond using existing algorithms and packages
- Work on projects involving CNNs, RNNs, and other deep reinforcement learning models
- Develop high precision classifiers and tools incorporating machine learning, regression and rule-based based models
- PhD with a focus in speech, signal processing, NLP, machine learning, or a related field highly desired
- Familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis)
- A thorough understanding of both best practices for practical planning systems and the state-of-the-art in academic research
- Adopts pragmatic approach when choosing and implementing the right technologies to solve a problem, and develops with success metrics
- A Ph.D. in computer science, natural language processing, deep learning, computer vision or a related field
- Previous history of writing and reviewing technical papers
10
Experience For Machine Learning Scientist Resume
- Reports status of project progress in timely and accurate fashion, using available metrics and evaluates technical risks
- Design, develop, and evaluate highly innovative models for predictive learning
- Work with existing “intrapreneurship” and business teams to develop and help commercialize highly adaptive and robust models
- Own strategic thought leadership for the subject of enterprise wide machine learning capabilities
- MS in CS Machine Learning, Statistics, or in a highly quantitative field
- Design and implement core machine learning algorithms used by different product teams, included but not limited to
- Offline evaluation of machine learning models and establish correlation between online A/B tests and offline metrics
- Report results of machine learning models in peer-reviewed papers and technical manuals
List of Typical Skills For a Machine Learning Scientist Resume
1
Skills For Principal Machine Learning Scientist Resume
- Skills with Java, C++ (or other high-level programming language) as well as R, MATLABm Python (or similar scripting language)
- Experience of experience leading large-scale machine learning and/or computer vision projects
- Experience in implement and validate Big Data algorithms and models
- Strong experience in standard data science tools such as Python, Jupyter, Matplotlib, Pandas, Sklearn, Tensorflow, Hadoop and Spark
- MSc in Computer Science, Statistics or related field and +5 years recent Java, C++, or Python experience or PhD with relevant coding experience
2
Skills For Machine Learning Scientist / Senior Scientist Resume
- Work successfully in small team environments, and communicate effectively
- Consulting experience and track record of helping customers with their AI needs
- Experience in machine learning, data mining, recommendation systems, learning to rank, deep learning, natural language processing and related fields
- Deep experience in building text or image processing solutions, or other solutions using natural language processing techniques
- Recent ML experience in the areas of document summarization, ranking, document linking, entity extraction, pattern recognition, or data mining
- Experience evaluating and making decisions around the use of new or existing tools for a project
- Relevant research experience in planning algorithms and systems for wheeled vehicles, including the development of planning systems
- Professional experience in conducting experiments, building and deploying machine learned solutions
- Experience using GPUs for accelerated deep learning training
3
Skills For Big Data Machine Learning Scientist Resume
- Experience with underlying Machine Learning techniques, Deep Learning, and algorithm development
- Strong personal interest in learning, researching, and creating new technologies in unconventional domains
- Experience writing scripts (Perl, Python, and Ruby) to manipulate data and developing software in traditional programming languages (C++, Java)
- Experience or educational background in utilizing machine learning and/or applied time series modeling
- A proven track in leading, mentoring and growing teams of scientists
- Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists)
- Post-Ph.D. experience working on machine learning or a related area
4
Skills For Applied Machine Learning Scientist Resume
- Overall 4+ years’ experience implementing machine learning applications, some of it in big data environment
- Hands-on experience in applied machine learning, and predictive modeling and analysis
- Financial engineering experience in banking and investment
- Experience leveraging Software Development and Machine Learning
- Experience building practical machine learning models with applications to real-world problems
- Experience working with key aspects of machine learning and computer vision
5
Skills For Machine Learning Scientist Intern Resume
- Experience in machine learning and computer vision algorithm development using both toolkits and self developed cod
- Proven track record of applying machine learning to solve real-world problems
- Experience with deep learning and/or collaborative filtering
- Experience with data mining, machine learning, and/or information retrieval is highly desired
- Proven track record of architecting and building scalable systems
- Experience in building natural language processing systems
- Experience with managing and evaluating A/B tests in production
- Experience in data mining/predictive modeling
6
Skills For Senior Data & Machine Learning Scientist Resume
- Experience in state-of-the-art machine learning and statistical modeling techniques
- Experience in natural language understanding/processing or speech recognition
- Experience in building large-scale machine learning systems
- Experience in building speech recognition and natural language processing systems
- Experience in building speech recognition and/or natural language processing systems
- Experience in machine learning and familiarity with standard speech and/or machine learning techniques
- Experience building machine learning models deployed to production environments
7
Skills For Machine Learning Scientist Senior Resume
- Knowledge and experience in image processing / NLP / medical imaging is an advantage
- Hands-on experience in deep learning, predictive modeling and analysis
- Proficiency in publicly available data analytics toolkits and experience in manipulating and analyzing large data sets
- Experience programming in languages such as Python, Java, or C/C++
- Experience working with ElasticSearch or Solr
8
Skills For Robotics & Machine Learning Scientist Resume
- Experience working with Hadoop/Spark
- Consolidate spelling variations of product attributes like brand, size, or color
- PhD in Computer Science or equivalent and 5+ years experience in machine learning
- Strong publication track record at Machine Learning conferences such as ICML, NIPS
- Profound programming experience in languages such as python or Java in a UNIX/Linux environment
- Industry experience in predictive modeling and large scale data analysis
9
Skills For Data Analytics / Machine Learning Scientist Resume
- Experience in regression, classification and clustering methods such as GLM, LR, SVM, LVQ, SOM, Neural Networks
- Experience in using big data platforms and technologies such as: Pig, Hive, HBase, etc
- Experience with building chatbot
- MS or PhD in machine learning (or in a highly related area) or equivalent experience
- Hands-on experience in predictive modeling and analysis
- Experience using complex data structures and algorithms
- Practical experience in applying ML, especially personalization, NLP techniques and/or dimensionality reduction
- Experience with big data technologies such as Hadoop/Spark
- Strong desire to collaborate and develop new technologies
10
Skills For Machine Learning Scientist Resume
- Strong communication abilities and willingness to lead and inspire other engineers
- Strong foundation in ML fundamentals
- Experience with scikit-learn (or similar) packages
- Solid Javascript/HTML/CSS & ability to craft nice UX
- Ideally: Experience with geolocation data analysis
List of Typical Responsibilities For a Machine Learning Scientist Resume
1
Responsibilities For Principal Machine Learning Scientist Resume
- Working in a Linux environment, with experience of cluster or cloud computing
- Experience with Machine Learning and Deep Learning techniques for algorithmic development and statistical modeling
- Experience in building speech recognition and natural language understanding/processing systems
- Post-graduate experience in leading major R&D projects in the area of MT and/or NLP in an academic or industrial lab setting
- Experience managing or leading teams of engineers and/or scientists
2
Responsibilities For Machine Learning Scientist / Senior Scientist Resume
- Experience implementing NLP/NLU
- Experience in industry, consulting, government or academic research
- Establish processes for large-scale data analyses, model development, model validation and model implementation
- Proven understanding of algorithms, probability, statistics, and linear algebra
- Hands-on experience with deep learning frameworks such as Tensorflow, Theano, Caffe, and/or Torch is required
- Apply statistics and machine learning techniques to power experimental customer experiences
- Design A/B tests across various products to validate the performance of machine learning models
- Experiences with open source tools, Tensor flow, MxNet, CNTK, Caffee, OpenCV
- Good knowledge of Python and command line usage
3
Responsibilities For Big Data Machine Learning Scientist Resume
- Experience in R or equivalent statistical package is required
- Experience in working on highly scalable and available systems
- Experience of managing significant long term successful research projects
- Hands-on experience in predictive modeling and large data analysis
- The support of senior leadership for implementing ML & AI capabilities to improve omni-channel customer experiences
- Solid background in machine learning techniques and structural biology
4
Responsibilities For Applied Machine Learning Scientist Resume
- Industry or postdoctoral experience with machine learning
- Industry experience in applied machine learning projects
- Experience in using R, JMP, Mathematica, SAS/SQL, or or any other statistical software
- Experience with MXNET or Machine Learning equivalent platforms
- Demonstrated ability to think as a data scientist
5
Responsibilities For Machine Learning Scientist Intern Resume
- Working knowledge of business reporting and data visualization tools (e.g. Tableau, Shiny, D3)
- Contributing to multiple areas of research, including but not limited to the following
- Take responsibility for technical problem solving, including creatively meeting product objectives and developing best practices
- Develop data pipelines for training and testing machine-learning-based systems
- Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
- Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system
- Dream about solving complex machine learning problems
- Apply advanced machine learning methods to design and implement scalable MT and text understanding systems that significantly advance the state-of-the-art
6
Responsibilities For Senior Data & Machine Learning Scientist Resume
- Ph.D. or M.S. in Computer Science, Statistics, or related field with exposure to machine learning and natural language processing
- Track record of solving ambiguous technical problems and delivering complex software systems to customers
- MS/PhD in Computer Science or a related engineering field with an emphasis on Machine Learning
- Recent record of publication in internationally-leading machine learning venues (e.g. NIPS, ICML, AISTATS, UAI, JMLR, TPAMI)
- PhD or MS in Computer Science (CS), Computer Engineering (CE), Machine Learning (ML), or related technical field
- Improve and accelerate our technology with science, statistical modeling, algorithm design, and prototyping
7
Responsibilities For Machine Learning Scientist Senior Resume
- Advantageous: proficiency in designing and implementing efficient algorithms & data structures
- Work independently with a minimal amount of supervision including strategic decision making to ensure success
- Machine learning research practice
- PhD or MS in machine learning, computer science or equivalent quantitative fields
- Collaborates well in a team and sensitive to clients’ needs, while developing warm relationships
- Research and implement novel scalable machine learning approaches
8
Responsibilities For Robotics & Machine Learning Scientist Resume
- PhD in Computer Science, Computational Linguistics, Machine Learning, Statistics or in another highly quantitative field
- Ph.D in CS, math, or engineering
- Perform ongoing optimization improvements
- Use statistical and machine learning techniques to deep dive and model customer behavior in how they use our Amazon hardware products
- Research, Teach and lead teams to adopt state of the art machine learning and statistical approaches
9
Responsibilities For Data Analytics / Machine Learning Scientist Resume
- MS in Engineering, Physical Science, Operations Research, or related quantitative field
- Knowledge of various machine learning techniques and key parameters that affect their performance
- Use statistics, NLP, and machine learning techniques to create scalable solutions for business problems and customer insights
- Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
- Interact with business, product, and engineering teams to understand business requirements and operational processes
- Develop and apply machine learning and statistical approaches to generate insights into structured research data
10
Responsibilities For Machine Learning Scientist Resume
- Data curation and preparation for machine learning applications
- PhDs, specialized in Information Retrieval and Machine Learning
- PhD in CS Machine Learning, Operational Research, Statistics or in another highly quantitative field
- Proficient with mathematical programming libraries (R, Matlab, Python)
- In one or more major programming languages (Python, Java, C++, C, Perl/Ruby, etc.)
- Significant peer reviewed scientific contributions in relevant fields including publications at major ML conferences and journals
- Diagnoses root cause of complex model performance problems
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