[Hiring] Lead Data Scientist @Stellar Health

About the position:

Stellar Health is looking for our first product-focused data science hire!  The Lead Data Scientist will report to Stellar’s VP, Engineering, and closely partner with key stakeholders across Engineering, Product & Analytics.

The Lead Data Scientist will collaborate with a product development team focused on measuring, optimizing, automating and scaling Stellar’s innovative incentives strategy to drive quantifiable improvements to healthcare outcomes.

Imagine tackling questions such as, "how can we price payouts to providers to maximize colon cancer screenings for those in need?" Or, "when should we launch competitions across provider groups to deliver higher quality care?" This is an opportunity to take ownership of impactful projects, bringing not just technical expertise but the vision to see them succeed.

Stellar is at an inflection point – we have deep relationships with the key national payors, and a large, fast-growing provider network. We have access to a variety of rich data sources and we’ve invested in upleveling the data infrastructure that will allow us to transform this into insights that unlock the next phase of growth for our business.

Come join us if you’re excited about leading our nascent data science and predictive analytics efforts, and want to work side-by-side with engineering teams to have your work directly impacting patient care and driving the shift towards a more effective US healthcare system!

What you’ll do:

• Understand and prepare high quality datasets. Data science cannot exist without clean, well-understood data, and we want someone who can roll up their sleeves to do table stakes data engineering work. 
  • You’ll dig into new & existing data sets, be curious about business needs & edge cases, and deeply understand how data flows through our system.
  • You’ll accurately model data, clean it when necessary and ensure critical code you write is well-tested.
  • SQL expertise is a must, as is familiarity with DBT and data warehouses (we use Snowflake, but experience with others is fine).
• Perform thoughtful, quick analyses to enable important decisions. You’ll be at the forefront of understanding what makes our business tick, and you’ll be posed many questions for which no one yet has an answer.
  • You’ll need to thrive in ambiguity and decision making with imperfect or partial visibility.
  • You’ll need to be able to quickly zero in on the right questions to answer (even if that wasn’t what was asked) and then do the analyses necessary to unblock yourself and the team.
• Build production-ready statistical and predictive models. Your work will help us better model our provider & patient populations, and in some cases, predict what interventions we should deploy.
  • You’ll need to be comfortable with Engineering collaborations and what it means to move something from an offline ad-hoc insight to an online, automated system that impacts thousands of providers and millions of patients every day.
  • You’ll need to be opinionated about what excellent looks like when deploying insights and models into a live product. You’ll need to answer how we validate pre- and post- launch, and how we improve over time.
• Lead, collaborate and communicate well with others. You’ll be our primary expert in data science and machine learning techniques, and we’ll be looking to you to both do exceptional technical work and to bring others along.
  • You’ll sometimes need to teach and educate others on best practices for data science and predictive modeling.
  • You’ll need to proactively collaborate with multiple teams and translate among them to ensure your work lands successfully.
  • You’ll communicate clearly and effectively about what, how and why we’re making decisions in order to create trust in your team’s work.
• Get things done and advance our mission. We’re all here to help reshape the US healthcare system into something that delivers more value with lower costs. We want someone who understands this urgency and is equally inspired by the mission to get as much done as quickly as possible to help our providers and patients.

As Lead Data Scientist you should have:

• 10+ years of data science, analytics or machine learning experience
• Hands on experience with data engineering, predictive modeling and experimentation / causal inference methods
• Senior-level engineering & coding skills – you will be collaborating closely with engineers and contributing to important data pipelines and production systems
• Excellent communication skills, including the ability to explain technical analyses to non-technical audiences
• Advanced degree in data science / machine learning / statistics
• Although this is an individual contributor role, it requires leadership skills, so experience leading teams is a plus
• Healthcare experience is a plus

Who will love this job:

You are a builder, excited to be our first product-focused data science hire, and eager to shape and grow our capabilities.

• You get things done, and you love working in a dynamic, early stage environment.
• You understand, appreciate and enjoy the responsibility and accountability that comes with being assigned ownership over projects and their success.
• You are organized, proactive, principled and articulate, which makes you effective at driving cross-functional teams to align.
• You have high standards – you care about doing great work and about being an exceptional member of your team. You also expect this of others.
• You care about the mission, and want to spend your time on something that truly matters.

Pay:

We are considering candidates with differing levels of expertise for this position. Leveling and placement within the band will be based upon your relevant experience and performance in the interview process.  Stellar's bands are designed to allow for individual compensation growth within the role.  As such, new hires typically start at the lower end of the range.  Stellar rewards performance and outcomes - should you join the company, you will have the opportunity to grow your salary over time.

The salary range for the Lead Data Scientist is $175,000 - $220,000 and will be eligible for an annual performance based bonus and equity grant

Stellar reserves the right to change our compensation bands at any time.