Talkiatry is looking for a Sr. Product Data Scientist to join their growing Data team to solve problems related to growth, patient engagement, and clinical efficiency, and to bring analytical thought leadership as they continue to rapidly grow and iterate on their product offerings.
Requirements
- 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.
- 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.
Responsibilities
- 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.
- Build, evaluate, and productionalize models to forecast outcomes such as patient retention, no shows, demand patterns, and more.
Other
- 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
- Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
- A Master’s or PhD in a quantitative field is a plus
- 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.
