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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Data Scientist - **Company:** Talkiatry Management Services, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, BigQuery, Information Engineering, Data Warehousing, Python (Programming Language), Requirements Management, SQL Databases, Scripting, Snowflake, Pandas, Scikit Learn, Statistics Packages, Star Schema, Data Management, Data Pipelines, Amazon Redshift - **Published:** September 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-product-data-scientist--5771b851-92d1-4c99-a3c5-7be00c948553 ## About the Role * 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., Analysis Skills, Behavioral Health, Communication Skills, Cross-Functional, Data Analysis, Data Management, Data Science, Data Warehousing, Experiment Design, Federal Government, Finance, Financial Trend Analysis, Healthcare, Hospital/Healthcare Construction, Leadership, Metrics, Patient Assessment, Patient Care, Performance Analysis, Problem Solving Skills, Process Improvement, Product Documentation, Product Engineering, Psychiatry and Mental Health, Python Programming/Scripting Language, Requirements Management, Risk Analysis, SQL (Structured Query Language), Snowflake Schema, Startup, Statistics, Storytelling, Strategic Analysis, Team Player, Thought Leadership ## Description * 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. 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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