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Talkiatry · 3 days ago

Senior Product Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$145K/yr - $180K/yr

4+ years exp

Talkiatry is a national mental health practice focused on accessible and responsible care. They are seeking a Senior Product Data Scientist to lead product insights, experimentation, and applied analytics to drive growth and improve patient engagement.

Health CareMedicalMental HealthmHealthWellness

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

Build, evaluate, and productionalize models to forecast outcomes such as patient retention, no shows, demand patterns, and more

Balance technical sophistication with pragmatic application, recognizing when simpler analyses can achieve the same business impact

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 BI 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

Qualification

PythonSQLExperimental designStatistical methodsMachine LearningData analysisCommunication skillsCollaborationProblem-solving

Required

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

Practical understanding of ML modeling trade-offs: when to deploy advanced models vs. when a well-structured analysis is the right tool

Understands the spirit of George Box's reminder that 'all models are wrong, but some are useful' and applies that judgment to build solutions that balance sophistication with pragmatism

Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders