Senior Data Scientist – Full Stack
SentiLink
Senior Product Data Scientist
Talkiatry
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $145,000 - $180,000 per year
Job Level
Senior
Tech Stack
Amazon RedshiftBigQueryPandasPythonScikit-LearnSQL
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceanalyticsPythonSQLexperimental designcausal inferencestatistical methodsML modelingdata analysismodeling
Soft skills
communicationcollaborationproblem-solvingcritical thinkinginsight generationstakeholder engagementproactive thinkingadaptabilityinfluencethought partnership
Certifications
Master’s degreePhD in quantitative field
