1 day ago

Data Scientist, SMB Ads Growth

✓ 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

Architect end-to-end analytics for SMB Ads Growth, partnering with the SMB Ads Marketing team to drive strategy across targeting, funnel optimization, and performance forecasting. Own foundational growth metrics and North Star KPIs, build propensity and look-alike models, design incrementality and multi-touch attribution, and lead experimentation with A/B and multivariate tests. Deliver automated dashboards for weekly operating reviews and high-fidelity revenue models to guide quarterly and annual targets.

Location: San Francisco

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect the ads analytics function end-to-end, driving strategy across targeting, funnel optimization, and performance forecasting.
•Establish foundational growth metrics and North Star KPIs for SMB Ads, optimizing lead acquisition through long-term retention.
•Engineer propensity models and look-alike frameworks, including target list construction, data enrichment, and performance tracking.
•Design and implement multi-touch attribution and incrementality frameworks; lead experimentation using A/B and multivariate tests.
•Build revenue and advertiser growth forecasting models and automate business-critical reporting and dashboards for weekly operating reviews.

Pay and Benefits

Salary: USD 293,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•5+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment.
•Proven track record deploying machine learning models (propensity, LTV) that moved business metrics.
•Strong SQL with proficiency in Python or R.
•Experience thriving in ambiguous “0-to-1” environments with hands-on building of data infrastructure and processes.
•Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn).

Experience:5+ yearsAds platformMarketplaceB2B0-to-1

Skills:Cross-functional partnershipExperimentationHypothesis formulationCommunication to executivesAmbiguity tolerance

Tech Stack:SQLPythonRMachine learningA/B testingMultivariate testingBehavioral analysisAttributionDashboards

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

Loading job details...

Preparing the role view and application actions.

OpenAI

1 day ago

Data Scientist, SMB Ads Growth

✓ 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

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect the ads analytics function end-to-end, driving strategy across targeting, funnel optimization, and performance forecasting.
•Establish foundational growth metrics and North Star KPIs for SMB Ads, optimizing lead acquisition through long-term retention.
•Engineer propensity models and look-alike frameworks, including target list construction, data enrichment, and performance tracking.
•Design and implement multi-touch attribution and incrementality frameworks; lead experimentation using A/B and multivariate tests.
•Build revenue and advertiser growth forecasting models and automate business-critical reporting and dashboards for weekly operating reviews.

Pay and Benefits

Salary: USD 293,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•5+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment.
•Proven track record deploying machine learning models (propensity, LTV) that moved business metrics.
•Strong SQL with proficiency in Python or R.
•Experience thriving in ambiguous “0-to-1” environments with hands-on building of data infrastructure and processes.
•Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn).

Experience:5+ yearsAds platformMarketplaceB2B0-to-1

Skills:Cross-functional partnershipExperimentationHypothesis formulationCommunication to executivesAmbiguity tolerance

Tech Stack:SQLPythonRMachine learningA/B testingMultivariate testingBehavioral analysisAttributionDashboards

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