Talkiatry is looking to solve the problem of inaccessible mental health care by transforming psychiatry with accessible, human, and responsible care. They aim to address the issue of 60% of adults in the U.S. with a diagnosable mental illness going untreated due to inaccessibility, and 45% of clinicians being out of network with insurers. The Sr. Product Data Scientist will focus on product insights, experimentation, modeling, and applied analytics to drive growth and improve patient engagement and clinical efficiency.
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.
- Strong applied experience in data science is essential
Responsibilities
- Build, evaluate, and productionalize models to forecast outcomes such as patient retention, no shows, demand patterns, and more.
- Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks.
- 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.
- Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors.
Other
- This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics focusing on growth.
- The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls.
- You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance.
- Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
- 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
