Senior Data Scientist

Remote

Full Time Senior-level / Expert
Grand Rounds logo

Grand Rounds

We’re here to find you a doctor, tackle a bill or explain your insurance benefits. And thanks to your employer, it won’t cost you a thing. It’s care shaped around you.

View all employer listings

Apply now Apply later

The RoleData Scientists at Included Health focus on contributing robust code to our machine learning platform in order to support our modeling of clinical outcomes, cost of care, and engagement. You’ll contribute to a production Python codebase and develop models in challenging datasets. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity. This role will use insurance claims, free text, product data, and other data sources to help identify members’ needs, match members to top providers, and determine which providers have the experience in particular domains.

You will have the opportunity to work on projects like...

  • Predict a provider’s sub-specialization. A member’s care can be greatly enhanced if a clinician is particularly skilled in the treatment of specific conditions. For example, some neurologists might specialize in treating migraines, while others are generalists. While we can easily tell that a provider is a neurologist, we need to apply statistical techniques to insurance claims to infer their more nuanced expertise. Work like this helps us recommend the ideal physicians to meet our members’ needs, whether those be general or highly specialized.
  • Recommending High Value Care. With an expanding list of products and services, we want to be able to guide our members to the best care for their needs. We’re building a platform that can understand a patient’s needs and make recommendations that satisfy those needs. This work involves analyses to understand the problem and scope approaches, modeling, prototyping, and developing an API that production services can make use of. Finally, we’ll need to partner closely with application teams to roll out this tooling

Areas of ownership...

  • Lead and develop projects from end-to-end encompassing planning, design, technical implementation, debugging, roll-out to Product & Engineering, testing, and iteration
  • Help maintain our clinical measurement and modeling tools, including our PySpark ML platform
  • Train and improve clinical, cost, and recommendation models
  • Evaluate and experiment with new technologies and tools prior to wider adoption by the team
  • Operate at a level of sophistication in statistics, machine learning, or computer science that is publication-worthy
  • Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering
  • Work closely with analysts, data scientists, product managers, clinicians, and engineers
  • Solve problems and build solutions that have a direct impact on improved clinical outcomes and longer, healthier lives for millions of people

What we look for...

  • Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
  • Business intuition and product sense that help you identify the most impactful projects to work on to address current and future business needs (think, Data Science embedded in Product)
  • More than a few years of production coding and modeling experience, and a track record of leading teams or projects with a few other individuals involved
  • Work experience on a team, coordinating deliverables across complex efforts
  • Experience with SQL relational databases, as well as big data
  • Required: Python, SQL, linux shell scripting 
  • Prior experience with Amazon Web Services
  • Nice-to-Have: background in Behavioral Health or HealthTech; PySpark experience
Why join us?Hop on a rocketship: Included Health has recently become the second-biggest digital health company in the US.  With a $3B+ valuation, a recent merger and acquisition completed, we are primed for continued success in a big way.
Accelerate your career: Forbes’ recently named us a Best Startup Employer, we’ve been voted a Glassdoor Best Places to work, and a 4x Career-Launching Company by Wealthfront.
Roll up your sleeves and partner with experts with all kinds of experience: We hire for intellectual curiosity, humility, and hunger for impact. In this role you’ll get exposure across the company in many strategic projects where you’ll work closely with partners across data science, product and engineering who share a singular goal: make healthcare better for everyone.
Make healthcare work for millions of people: We’re taking on healthcare head-on. End each day knowing that your work is transforming a $3.6 trillion industry and millions of people’s lives for the better.
#LI-Remote
About Included Health
Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.
-----Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Job perks/benefits: Insurance Startup environment
Job region(s): Remote/Anywhere
Job stats:  8  2  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities