Senior Product Data Scientist

for the Product teams by analyzing data and understanding patient behaviors.

• Help Product teams maximize impact, by working wtih PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to

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

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• Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams.

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• 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 Analytics Engineering 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.

• 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.

• 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.

Why Talkiatry:

• Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care

• Collaborative environment: be part of building something from the ground up at a fast-paced startup

• Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

• Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands

• It all comes back to care: we're a mental health company, and we put our team's well-being first

Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work .

At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.