Staff Data Scientist — Product & Ops (Stock Options)

charliehealth; Stati Uniti; Remoto; USD 190.000 - 270.000; Tempo pieno

Descrizione del lavoro

Charlie Health is seeking a senior data science partner to guide analytics across product, engineering, and clinical operations. You will mentor peers, shape the data science direction, and translate business questions into rigorous analyses with practical recommendations.

Responsibilities include defining metrics, influencing roadmaps, and developing Bayesian and causal models to drive measurable outcomes. The role requires onsite work in New York City four days a week from qualified candidates.

Competenze

• Seven+ years in data science/analytics with a technical lead track record.
• Ability to translate ambiguous problems into actionable analyses.
• Proven impact from modeling or analysis on decisions or outcomes.
• Deep knowledge of causal inference methods (randomized trials, diff-in-diff, weighting, propensity scores, IV).
• Proficiency with SQL and Python or R; experience with modern data workflows and DBT.

Mansioni

• Guide data science across product and operations to shape priorities and decisions.
• Define metrics, present evidence to leaders, influence roadmaps.
• Develop statistical models and analytical approaches for measurable impact.
• Apply Bayesian and frequentist methods and guide causal analysis.
• Collaborate with analytics and data engineering to build repeatable self-service analysis.

Conoscenze

Data leadership

Statistical modeling

Bayesian methods

Causal inference

SQL

Python/R

BI tooling

Communication

Strumenti

dbt

OLAP

BI tools

Descrizione del lavoro

Charlie Health is seeking a senior data science partner to guide analytics across product, engineering, and clinical operations. You will mentor peers, shape the data science direction, and translate business questions into rigorous analyses with practical recommendations.

Responsibilities include defining metrics, influencing roadmaps, and developing Bayesian and causal models to drive measurable outcomes. The role requires onsite work in New York City four days a week from qualified candidates.