Anthropic

1 month ago

Lead Data Scientist, Platform Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join Anthropic's Data Science & Analytics team to drive data-informed decisions for the Developer Platform, defining metrics, building measurement frameworks, and analyzing platform adoption. You’ll partner with product, engineering, and GTM teams to shape the platform roadmap, establish analytical foundations, run rigorous experiments, and translate complex analyses for technical and business audiences as the platform scales.

Location: New York, Seattle, San Francisco

Workplace: Onsite

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success.
•Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams.
•Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations.
•Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions.
•Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes.

Pay and Benefits

Salary: USD 275,000 - 370,000 annually

Key Requirements

•Proficiency in Python, SQL, and data visualization tools.
•Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments.
•Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy.
•Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences.

Experience:Data ScienceAnalyticsAIDeveloper Platform

Education:Bachelor's

Skills:PythonSQLData visualizationA/B testingExperimental designCausal inferenceStatistical modeling

Languages:English

Tech Stack:PythonSQLData visualizationA/B testingCausal inferenceExperimental designStatistical modeling

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 month ago

Lead Data Scientist, Platform Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York, Seattle, San Francisco

Workplace: Onsite

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success.
•Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams.
•Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations.
•Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions.
•Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes.

Pay and Benefits

Salary: USD 275,000 - 370,000 annually

Key Requirements

•Proficiency in Python, SQL, and data visualization tools.
•Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments.
•Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy.
•Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences.

Experience:Data ScienceAnalyticsAIDeveloper Platform

Education:Bachelor's

Skills:PythonSQLData visualizationA/B testingExperimental designCausal inferenceStatistical modeling

Languages:English

Tech Stack:PythonSQLData visualizationA/B testingCausal inferenceExperimental designStatistical modeling

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn