Staff Field Data Scientist at Domino Data Lab

| San Francisco | Remote
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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. 

Responsibilities:

  • 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 
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • GolangLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ScalaLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • FlaskFrameworks
    • Node.jsFrameworks
    • PlayFrameworks
    • SparkFrameworks
    • MongoDBDatabases
    • PostgreSQLDatabases
    • MixpanelAnalytics
    • BalsamiqDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • ConfluenceManagement
    • JIRAManagement
    • MiroManagement
    • WordpressCMS
    • NetlifyCMS
    • HubSpotCRM
    • SalesforceCRM
    • SalesLoftLead Gen
    • LeadIQLead Gen

Location

We're located in the SoMa district of San Francisco. Located near the CalTrain station and Oracle Park, there's a lot to do around the area!

What are Domino Data Lab Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Intracompany committees
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Unconscious bias training
Diversity Employee Resource Groups
Women at Domino Diversity and Inclusion
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Domino employees can contribute up to $2750 annually to their FSA.
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Domino offers several options for health insurance benefits, one of which the premium is covered 100%.
Life Insurance
Life insurance is equal to 1 times an employee's annual salary. We are launching an employee buy up option at a reduced rate.
Wellness Programs
Domino's wellness program provides $500/year for health and fitness services and activities.
Mental Health Benefits
Domino's health insurance covers mental health benefits. In addition, we offer a yearly subscription to Calm (a wellness app).
Retirement & Stock Options Benefits
401(K)
Domino's 401(k) retirement plan offers a broad selection of stocks, bonds and international index funds to choose from through Guideline.
Company Equity
Domino offers stock options which vests over a four-year period with a one-year cliff.
Child Care & Parental Leave Benefits
Child Care Benefits
Domino provides dependent care FSA.
Generous Parental Leave
We provide up to 16 weeks of parental leave for the primary caretaker. Domino also provides 8 weeks of leave for the secondary caretaker.
Remote Work Program
Family Medical Leave
Company sponsored family events
We sponsors family oriented events Annually.
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Domino Data Lab offers pre-tax commuter benefits for all employees.
Company Outings
Domino hosts company outings Quarterly.
Stocked Kitchen
Some Meals Provided
Happy Hours
Happy hours are hosted once per month.
Parking
We offer employees a parking subsidy.
Pet Friendly
Our pet policy is dog friendly daily.
Recreational Clubs
Domino has a biking/cycling club and soccer team! More to come!
Fitness Subsidies
Domino reimburses its employees up to $500 a year for health and fitness services and activities.
Home Office Stipend for Remote Employees
Domino supports WFH requests and will provide any equipment necessary to help an employee feel comfortable at home.
Professional Development Benefits
Job Training & Conferences
Domino Data Lab offers employees professional development opportunities like Annual individual budget for training, The ability to attend job related conferences and seminars.
Lunch and learns
Domino Data Lab hosts lunch and learn meetings on occasion.
Cross functional training encouraged
Promote from within
Continuing Education stipend
Time allotted for learning
Online course subscriptions available
Customized development tracks
Paid industry certifications
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