Pinterest · 7 hours ago

Staff Data Scientist, Data Platforms

Palo Alto, CA

Full-time

Remote

Senior Level, Lead/Staff

$148K/yr - $304K/yr

8+ years exp

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Comp. & Benefits

No H1B

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Responsibilities

Apply data science and analytics to identify opportunities to improve the throughput and quality of the data collection approaches used to collect labels today -- quantify the impact these improvements will have on our pace of innovation, and prototype solutions that measurably improve the outcome for the platform.

Build a roster of high-impact analytical opportunities that improve velocity, clarity and trust in our labeled data collection solutions.

Collaborate with customers of the platforms to understand whether data observations reflect their problems and pain-points, and with engineers to scale your successful prototypes to become integral components of the platform.

Up-level data scientists across the organization through mentorship, partnership and constructive feedback.

Evolve our strategy in close partnership with product and engineering leaders by building on the learnings uncovered by yourself and partners and shaping the evolution of our platforms and tools.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceStatistical MethodsAlgorithmic CodeLLM Prompts DevelopmentCross-Functional Collaboration

Required

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data.

5+ years of hands-on experience as an individual contributor using a deep understanding of scientific methods applied to data to drive business decisions.

Proven track record of crafting high quality algorithmic code and identifying opportunities for efficiency and performance improvements through statistical methods.

Experience with developing high quality prompts for LLMs.

Demonstrated execution and impact on cross-functional initiatives, strong communication skills, and a track record of influencing leaders and peers using data.

Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned.

Strong business and product sense who can shape vague questions into well-defined analyses and success metrics that drive business decisions.