Talkiatry
Transforming psychiatry with accessible, human, and responsible care
Senior Product Data Scientist
Location
United States
Posted
155 days ago
Salary
$145K - $180K / year
Bachelor Degree4 yrs expEnglishAmazon RedshiftBig QueryPandasPythonScikit LearnSQL
Job Description
• Proactive Insights & Storytelling
• 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.
• Modeling & Prediction
• 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.
• Experimentation & Measurement
• 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.
• Applied Analytics
• 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.
• Collaboration
• 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.
Job 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.
- 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.
- 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
Benefits
- Excellent benefits: medical, dental, vision, effective day 1 of employment
- 401K with match
- Generous PTO plus paid holidays
- Paid parental leave
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