Sorry. This page is not yet translated.
Domino Data Lab

Building the platform that enables thousands of data scientists to develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next.

Staff Field Data Scientist
San Francisco, CA, US
United States of America
Job Description / Skills Required

Domino is helping the world run on models. Data Science teams at model-driven companies use our platform to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models. Our customers are sophisticated analytical and data-driven organizations, including Johnson and Johnson, Allstate, Dell, and Bristol-Myers Squibb. Backed by Sequoia Capital, Zetta Venture Partners, Bloomberg Beta, and Coatue Management, we are at the epicenter of the data science revolution: helping companies build better cars, develop more effective medicine, or simply recommend the perfect gift. Domino looks for driven individuals who want to grow while solving the most challenging data science problems across various industries. We seek high performers, achievers, leaders, and visionaries. Together, we build groundbreaking, cutting-edge technology solutions that enable our customers to identify cancer faster, cure world pandemics, and build autonomous vehicles. On top of it all, our executive leadership team brings years of successful and proven experience in transforming startups into successful business ventures.

Our Field Data Science team sits at the core of the customer success organization. You would be joining a growing team that is part of a strategic initiative to expand our data science advisory services. Our team consists of highly qualified PhDs, and we are looking for someone to take on a technical and mentorship role, helping develop junior staff and upcoming talent. The team will look to you to represent the cutting edge, innovative, applied machine learning and data science work that our customers are solving, while building and strengthening Domino’s reputation as a leader in the data science platform space. You will be relied upon to drive our customers’ technical projects independently from all angles:

  • Identify areas of opportunity
  • Understand where custom technological solutions and Domino products can add value to customer's business problems
  • Champion, build, and help drive strategic and sophisticated Data Science projects
  • Coordinate work among technical project contributors 
  • Perform detailed analyses, develop high-quality materials, and communicate to executive leadership to enable impactful decision making

By joining our team, you’ll work with top-tier data science teams at some of the most advanced companies across industries, including Finance & Insurance, Pharmaceuticals & Life Science, Aerospace & Defense, and more. We have an incredible and diverse team, with backgrounds across industries and academia, that will challenge and enable you to learn new skills and take your career to the next stage. 


  • Provide various optimization recommendations to customer’s Data Science project(s) while taking advantage of your expert knowledge of Domino platform features
  • Apply industry best practices in the emerging machine learning technology trends that can be utilized to solve customer’s business problems within the Domino Data Science Platform
  • Build custom POCs for particular integrations or machine learning pipelines that may not be available in the core product, particularly those involving deeper familiarity with data science topics and workflows
  • Provide model development and optimization assistance with the following Data Science and machine learning technologies: R, TensorFlow, Keras, PyTorch, Scikit-Learn, Spark ML, MATLAB
  • Offer assistance in statistical data analysis involving data collection and cleaning, data interpretation, data validation, and hypothesis testing via various mathematical modeling approaches, programming languages, and modern technologies
  • Cross-pollinate data science best practices and knowledge across multi-client engagements
  • Engage with the broader data science community, as well as vertical-specific data science communities, by either presenting important research work at industry conferences or hosting external meetups at Domino, or contributing to the Domino blog
  • May require to travel up to 25% of the time (once business travel resumes)

Qualifications :

  • 8+ years of experience or Ph.D. degree in a quantitative field plus 3+ years of experience
  • Previous data science consulting experience required
  • Demonstrated experience understanding, utilizing, and innovating on state-of-the-art machine learning algorithms and/or statistical modeling
  • Experience as a technical leader recognized across teams as a mentor for more junior scientists
  • Familiarity with Real World Data and Real World Evidence data or digital health space. Knowledge of relevant healthcare datasets, such as EHR, insurance claims, or registry data preferred
  • Previous working experience in solving computer vision problems, preferably within the Health and Life Sciences industry
  • Experience developing production ML/Data Science models in Python and R as well as package management
  • Experience with machine learning and deep neural network frameworks such as TensorFlow and/or PyTorch
  • Track record of developing data science solution in containerized form using Docker and Kubernetes 
  • An understanding of techniques for interpreting black box models and checking for ethical risk and biases in models
  • Proven ability to work with large datasets of terabytes in size utilizing various distributed computing frameworks such as Spark or Dask
  • Strong interpersonal, communication, and written skills
  • History of publications or presenting at conferences is a plus