Staff Data Scientist (Product & Ops)

The role

You will act as a tech lead and thought leader across Product, Engineering, Design, Operations, and Clinical teams. You will use statistical methods and data to influence strategy, build models, and drive outcomes.

What you will do

• Partner with stakeholders to turn ambiguous business questions into analytical recommendations
• Influence leaders to accept recommendations and define key metrics
• Build and establish models, methods, and analyses using statistical methods
• Leverage AI to uplevel skills and those around you
• Leverage Bayesian and Frequentist statistical approaches to guide decision-making
• Partner with Analytics and Data Engineering to design and scale repeatable frameworks
• Serve as a causal inference expert across several methodologies
• Form and vocalize opinions to gain trust among company leaders
• Serve as a tech lead for the Data Science org with strong mentorship of peers

Required qualifications

• 7+ years in data science/analytics roles
• At least 3 years in a tech lead capacity
• Ability to navigate an ambiguous data environment
• Experience with modeling that led to clear adoption of recommendations and visible impact
• Detailed knowledge of causal inference methods including RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc.
• Experience with leveraging LLMs on text to generate insights
• SQL proficiency
• Python or R proficiency
• Modern ELT/ETL proficiency
• OLAP databases (e.g., Snowflake) proficiency
• dbt proficiency
• BI tools (e.g., Tableau, Hex) proficiency

Nice to have

• Start-up experience
• Healthcare Experience

Benefits

• Comprehensive benefits for all full-time, exempt employees
• Stock options

About the company

Charlie Health delivers personalized, virtual behavioral health treatment. The mission is to connect the world to life-saving behavioral health treatment.