1 day ago

Data Scientist, Ads Demand

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build the measurement and insight foundation for Ads demand health, partnering with Ads Sales and Ads Product leadership. Define North Star metrics and a diagnostic measurement strategy, create an operating view across advertiser outcomes, and use cohort analysis, experimentation, and causal methods to identify risks, opportunities, and benchmarks. Translate findings into advertiser-facing insights and a feedback loop that turns advertiser input into prioritized product opportunities, including forecasting and business impact.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define North Star metrics and a diagnostic framework for demand health across the ads system.
•Build an operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix.
•Diagnose changes in demand using cohort analysis, decomposition, experimentation, and causal methods, translating findings into actions for Sales and Product leadership.
•Own end-to-end advertiser outcomes (delivery, ROAS, conversion performance, retention, budget efficiency) and develop statistically sound benchmarks.
•Translate analysis into advertiser-facing insights and run measurement plans/experiments to quantify how best practices and product adoption affect outcomes, feeding a quantified feedback loop into prioritized product opportunities.

Pay and Benefits

Salary: USD 293,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business.
•Demonstrated business impact such as advertiser demand growth, improved delivery/ROAS, stronger retention, or decisions that changed product and sales strategy.
•Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting.
•Exceptional cross-functional communication and influence with sales and product leaders, with a hands-on approach to ambiguous, 0-to-1 problems.

Experience:7+ yearsAdsMarketplaceB2BPerformance marketing

Skills:Cross-functional communicationInfluenceHands-on problem solving

Tech Stack:SQLPythonR

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 day ago

Data Scientist, Ads Demand

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define North Star metrics and a diagnostic framework for demand health across the ads system.
•Build an operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix.
•Diagnose changes in demand using cohort analysis, decomposition, experimentation, and causal methods, translating findings into actions for Sales and Product leadership.
•Own end-to-end advertiser outcomes (delivery, ROAS, conversion performance, retention, budget efficiency) and develop statistically sound benchmarks.
•Translate analysis into advertiser-facing insights and run measurement plans/experiments to quantify how best practices and product adoption affect outcomes, feeding a quantified feedback loop into prioritized product opportunities.

Pay and Benefits

Salary: USD 293,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business.
•Demonstrated business impact such as advertiser demand growth, improved delivery/ROAS, stronger retention, or decisions that changed product and sales strategy.
•Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting.
•Exceptional cross-functional communication and influence with sales and product leaders, with a hands-on approach to ambiguous, 0-to-1 problems.

Experience:7+ yearsAdsMarketplaceB2BPerformance marketing

Skills:Cross-functional communicationInfluenceHands-on problem solving

Tech Stack:SQLPythonR

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor