Sr. Data Scientist, Gen AI Automation
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ
What this role actually needs.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ Responsibilities: - Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms). - Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety. - Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI—then translating into clear technical plans. - Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications. - Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery. - Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning). Requirements: - Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification. - Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization. - 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience). - Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience). - Strong understanding of LLM fundamentals and practical tradeoffs, including: - Capabilities, limitations and common failure modes. Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Sr. Data Scientist, Gen AI Automation role.
- Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms).
- Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety.
- Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI—then translating into clear technical plans.
- Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications.
- Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery.
- Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning).
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification.
- Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization.
- 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience).
- Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience).
- Strong understanding of LLM fundamentals and practical tradeoffs, including:
- Capabilities, limitations and common failure modes.
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Sr. Data Scientist, Gen AI Automation is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Keywords to match against your background
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Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 7527221 · Confidence: 90/100 · Last checked: May 7, 2026
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