8 months ago

AI Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Gamma seeks the company’s first Data Scientist to turn massive user data and AI outputs into actionable insights, build robust metrics and evaluation frameworks, design large-scale A/B tests, and partner with product/engineering to guide data-driven decisions. The role blends hands-on analytics with potential leadership, focusing on AI model performance, product health, and scalable data systems in a hybrid San Francisco office.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
•Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
•Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction
•Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
•Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization

Pay and Benefits

Salary: USD 180,000 - 310,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of experience as a data scientist at product-focused tech companies, with experience managing or mentoring other data scientists
•Strong statistical foundations with hands-on experience designing and analyzing A/B tests and experiments at scale
•Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data
•Experience working with AI/ML products, especially LLMs or generative AI, with familiarity evaluating model performance in production settings
•Ability to communicate complex technical concepts to non-technical stakeholders and influence product decisions with clarity and conviction

Experience:8+ yearsTechAIData science

Skills:CommunicationLeadershipCollaborationProblem-solving

Tech Stack:DbtSnowflakeLLMsGenerative AIA/B testingStatistical modeling

Company Brief

Gamma

Gamma (gamma.app) is an AI-powered visual storytelling platform that generates presentations, websites, documents, and social content from text or briefs — combining AI design agents, smart layouts, and collaboration tools for fast, polished outputs.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn

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Gamma

8 months ago

AI Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
•Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
•Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction
•Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
•Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization

Pay and Benefits

Salary: USD 180,000 - 310,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of experience as a data scientist at product-focused tech companies, with experience managing or mentoring other data scientists
•Strong statistical foundations with hands-on experience designing and analyzing A/B tests and experiments at scale
•Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data
•Experience working with AI/ML products, especially LLMs or generative AI, with familiarity evaluating model performance in production settings
•Ability to communicate complex technical concepts to non-technical stakeholders and influence product decisions with clarity and conviction

Experience:8+ yearsTechAIData science

Skills:CommunicationLeadershipCollaborationProblem-solving

Tech Stack:DbtSnowflakeLLMsGenerative AIA/B testingStatistical modeling

Company Brief

Gamma

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn