Senior Product Data Scientist

About the role

We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics.

Responsibilities

• Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors.
• Help Product teams maximize impact, by working with PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities.
• Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems.
• Frame analyses and estimates in terms of “so what” for the practice to ensure findings don’t just inform, but influence the team.
• Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams.
• Anticipate questions our teams should be asking and bring forward insights before they’re requested.
• Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks.
• Ensure appropriate statistical power, so results are both valid and actionable.
• Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions.
• Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership.
• Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don’t stay one-off, but become institutional knowledge.
• Collaborate with Data Engineering and Analytics Engineering teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling.
• Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking.

Requirements

• 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
• Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery).
• Strong foundation in experimental design, causal inference, and statistical methods.
• Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
• Experience in DBT is a plus, but not required.
• Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus.
• Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus.

Qualifications

• Master’s or PhD in a quantitative field is a plus.

Skills

• Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL.
• Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
• Strong foundation in experimental design, causal inference, and statistical methods.
• Exceptional communication skills.
• Experience in DBT.
• Experience on a Product growth team.
• Strong applied experience in data science.

Benefits

Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
Collaborative environment: be part of building something from the ground up at a fast-paced startup
Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

Pay

$145K - $180K

Schedule

Not specified