Talkiatry

Transforming psychiatry with accessible, human, and responsible care

Senior Product Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

155 days ago

Salary

$145K - $180K / year

Bachelor Degree4 yrs expEnglishAmazon RedshiftBig QueryPandasPythonScikit LearnSQL

Job Description

• 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. • Anticipate questions our teams should be asking and bring forward insights before they’re requested. • Modeling & Prediction • Build, evaluate, and productionalize models to forecast outcomes such as patient retention, no shows, demand patterns, and more. • Balance technical sophistication with pragmatic application, recognizing when simpler analyses can achieve the same business impact. • Experimentation & Measurement • 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. • Applied Analytics • 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. • Collaboration • 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.

Job 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.
  • 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.
  • 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

Benefits

  • Excellent benefits: medical, dental, vision, effective day 1 of employment
  • 401K with match
  • Generous PTO plus paid holidays
  • Paid parental leave

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