Lead Data Scientist, Stellar Health
$175-220k
+ annual performance based bonus and equity grant
Incentive program for health providers
Job no longer available
Incentive program for health providers
201-500 employees
Job no longer available
$175-220k
+ annual performance based bonus and equity grant
201-500 employees
Company mission
To improve the quality of care and affordability of healthcare for millions of patients in the United States.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
A problem in healthcare is little thought is given to the doctors and staff who coordinate all of the daily patient workflow, such as historical claims, pharmacy requests, lab work, testing and billing. Stellar Health aims to drastically reduce these 'chores' through a cloud-based platform on which primary care providers can offer value-based care through real-time information updates about patients.
The point-of-care workflow platform also strives to close the incentive gap between payors and care providers by helping practitioners earn more revenue for keeping patients healthy, rather than simply charging for procedures and treatments. While Stellar Health faces stiff competition from major players such as Siemens Healthcare and AthenaHealth, it has already made great ground in the market with over 1.1M patients across 37 states.
The company has secured significant investment from Primary Venture Partners and Point 72. This funding and its growing revenue are being put towards further scaling its operations and accelerating its product development. Operating in a rapidly growing industry which is expected to be worth just over $4 billion by 2025, Stellar Health is in a good position for future growth and success.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-3% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2021
$60m
SERIES B
May 2020
$10m
SERIES A
Total funding: $70m
Company benefits
- Medical, dental, and vision benefits: With coverage starting on your first day of employment
- Collaborative and inclusive culture: Even though we are virtual right now, we are committed to having fun as a team on a regular basis. Virtual magicians, game nights, outdoor happy hours and team picnics
- Generous paid time off policy: We follow a "self managed" PTO philosophy. Take time when you need it
Company HQ
Union Square, New York, NY
Leadership
Michael Meng
(CEO & Co-Founder)Studied Business Adminstration, Finance and Accounting at the University of Michigan, before obtaining an MBA from Wharton School, University of Pennsylvania. Started out as an Investment Banking Analyst at Lazard Freres. Served as Principal at Apax Partners, and currently sits on the board of the Global Language Project, CUNY Graduate School of Public Health and Health Policy and Medicomp Inc.
Octavian Costache
(CTO & Co-Founder)Obtained a Masters in Computer Science and AI from the University POLITEHNICA of Bucharest. Started out as a freelance Software Engineer, before joining Google as a Senior Software Engineer in 2005. Was a HackStar at TechStars in 2012. Co-founded Spring Inc. in 2013, and Stellar Health in 2018.
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