[Hiring] Senior Product Data Scientist @Talkiatry
Senior Product Data Scientist @Talkiatry
Data and Analytics
Salary usd 145,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 3wks ago

[Hiring] Senior Product Data Scientist @Talkiatry

3wks ago - Talkiatry is hiring a remote Senior Product Data Scientist. 💸 Salary: usd 145,000 - 180,000 per year 📍Location: USA

Role Description

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.

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.

You will:

  • 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.
  • 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 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.

Qualifications

  • 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.

Benefits

  • 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.
Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Product Data Scientist @Talkiatry
Data and Analytics
Salary usd 145,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 3wks ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
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Application Denied
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