Senior Data Scientist, GenAI – Labeling Platforms

Zigsaw

Senior Data Scientist focused on advancing GenAI-powered labeling systems at Pinterest. Collaborating cross-functionally to support high-impact technical work and improve labeling capabilities.

Posted 5/19/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $139,764 - $287,749 per yearWebsite

About the role

Key responsibilities & impact

Execute high-impact scientific work across GenAI-powered labeling and evaluation systems
Identify opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
Develop prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
Design experiments and measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
Partner with engineering, product, and data science teams to productionize successful approaches
Apply standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
Contribute to reusable methods and frameworks that can scale across teams and use cases
Support more junior scientists and contribute to the technical health of the team

Requirements

What you’ll need

6+ years of combined post-graduate academic and industry experience (or PhD + 3 years) applying scientific methods to real-world problems on large-scale data
Strong hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
Experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
Ability to turn ambiguous problems into rigorous analyses, experiments, and prototypes
Track record of writing high-quality code and using technical work to influence product or platform direction
Solid cross-functional collaboration skills and experience working effectively across teams
Business and product sense with the ability to define meaningful success metrics
Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred.

Benefits

Comp & perks

Health insurance
Flexible work hours
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

LLMsgenerative AI techniquesdata sciencemachine learningprompt optimizationtask decompositionquality estimationroutinghuman-in-the-loop workflowsexperimental design

Soft Skills

cross-functional collaborationproblem-solvingself-directed learningcommunicationinfluencinganalytical thinkingmentorshipadaptabilitybusiness acumenteam contribution