Talkiatry is looking to solve the problems of inaccessible mental health care and low reimbursement rates for clinicians by leveraging data science and analytics to inform strategic and product decisions.
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.
- Strong applied experience in data science is essential;
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.
- 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.
- Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership.
- Collaborate with Data Engineering and BI teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling.
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
- Must be authorized to work in the U.S.
- Must participate in E-Verify
