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Lead Product Data Scientist

Lead Product Data Scientist

This job is no longer open
Curai Health is on a mission to expand healthcare access and deliver the best in class care to everyone. We run a virtual primary care clinic, and leverage AI and machine learning to help our doctors work more quickly and effectively with patients. At Curai Health we are building a diverse, world-class, multi-disciplinary team across engineering, AI research, product, design, operations, and medicine. Our Curaians come from a variety of backgrounds, are mission-oriented, embody our core values, and are passionate about making a difference in the lives of millions of people.

At Curai Health we have embraced remote-first and work with people from all over the country and world. Full-time team members receive benefits that include medical, dental, vision, 401(k) matching, a remote work stipend, parental leave, and more. We are well funded by top-tier Silicon Valley investors including Morningside, General Catalyst and Khosla Ventures.

We are now looking for an experienced data scientist to lead our Product Data Science efforts. As a lead product data scientist, you will work closely with our team (product managers, designers, ML researchers, engineers, doctors, operations) to develop key metrics that guide our product development, design A/B tests, generate actionable insights, scale data analysis as we grow, and understand the critical ways in which our product works and what will enable us to achieve our mission. While this is an IC hands-on position, we are looking for someone with a strong strategic mindset, and ownership mentality. In this role you will be interfacing closely with the executive team, and proposing and driving changes to the way we make our decisions.

An ideal candiate has:

    • Demonstrated experience in a data scientist role at a consumer-facing company
    • Ability to communicate effectively with cross-functional teams all the way from AI researchers to decision makers. 
    • Experience generating insights using statistical techniques (e.g. regression, hypothesis testing)
    • Demonstrated proficiency in using a programming language (e.g. SQL, Python) to manipulate, clean, and analyze data
    • B.S., M.S., or Ph.D. in a quantitative field

Nice to haves:

    • Data engineering knowledge (e.g. dbt , BigQuery, Hive, Spark)
    • Knowledge of dashboards and reporting tools (e.g. Looker, Tableau, Datastudio)
    • Experience working in an early-stage, fast-paced environment
    • Exposure to healthcare industry and metrics


Our company is remote-first and considering candidates across the United States.

At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach.
This job is no longer open
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