Senior Product Data Scientist

Talkiatry•,

1d•$145,000 - $180,000

About The Position

We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. 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. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. 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. About Talkiatry Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

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.
Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.

Nice To Haves

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.
a Master’s or PhD in a quantitative field is a plus.

Responsibilities

Identify growth opportunities 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 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.
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.