Go Fund Me

6 days ago

Staff Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead high-impact data science workstreams across marketing, growth, and product, translating business questions into experimentation, causal measurement, and modeling frameworks. Define org-level technical strategy and best practices for decision science and AI-assisted workflows, building ML and uplift models to improve targeting, personalization, and investment efficiency. Partner with Data, Marketing, Product, Growth, Finance, and Engineering to improve instrumentation and reusable workflows, while mentoring technical teams.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead data science initiatives across marketing, growth, and product from problem definition through methodology, execution, interpretation, and recommendation.
•Define org-level technical strategy and establish best practices for experimentation, causal measurement, modeling, AI-assisted development, and decision science.
•Design and analyze experiments and quasi-experiments, building scalable frameworks for incrementality, treatment effects, and long-term business value.
•Develop ML, uplift, heterogeneous treatment effect, and adaptive experimentation models to improve targeting, personalization, lifecycle optimization, audience strategy, and budget allocation.
•Partner with Marketing, Growth, Sales, Finance, and Product to evaluate acquisition, retention, ROI, funnels, marketplace dynamics, donation conversion, and engagement; mentor data scientists and analysts.

Pay and Benefits

Salary: USD 179,500 - 269,500 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife Insurance401kParental Leave

Key Requirements

•8+ years leading data science, applied statistics, or machine learning projects with measurable business impact.
•Master’s degree or Ph.D. in a quantitative field, or equivalent applied experience with a bachelor’s degree.
•Experience applying machine learning to targeting, personalization, segmentation, recommendation, or lifecycle optimization.
•Strong command of statistical inference, causal inference, uplift modeling, heterogeneous treatment effects, and incrementality measurement.
•Advanced proficiency with SQL and Python for data extraction, transformation, modeling, and analysis.

Experience:8+ yearsMarketingGrowthMarketplaceProduct optimization

Education:PhD / Doctorate

Skills:CommunicationStakeholder managementBusiness judgmentMentorshipStorytelling

Languages:En

Tech Stack:SQLPythonAmplitudeGoogle AnalyticsOptimizelyGrowthBookSnowflakeDatabricksDbtAirflowGitLookerTableau

Company Brief

Go Fund Me

Operates an online crowdfunding platform that enables individuals and organizations to raise money for personal causes, medical expenses, charities, and community projects through donations from the public.

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Diego, United States

Founded: 2010

Website LinkedIn

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Go Fund Me

6 days ago

Staff Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead data science initiatives across marketing, growth, and product from problem definition through methodology, execution, interpretation, and recommendation.
•Define org-level technical strategy and establish best practices for experimentation, causal measurement, modeling, AI-assisted development, and decision science.
•Design and analyze experiments and quasi-experiments, building scalable frameworks for incrementality, treatment effects, and long-term business value.
•Develop ML, uplift, heterogeneous treatment effect, and adaptive experimentation models to improve targeting, personalization, lifecycle optimization, audience strategy, and budget allocation.
•Partner with Marketing, Growth, Sales, Finance, and Product to evaluate acquisition, retention, ROI, funnels, marketplace dynamics, donation conversion, and engagement; mentor data scientists and analysts.

Pay and Benefits

Salary: USD 179,500 - 269,500 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife Insurance401kParental Leave

Key Requirements

•8+ years leading data science, applied statistics, or machine learning projects with measurable business impact.
•Master’s degree or Ph.D. in a quantitative field, or equivalent applied experience with a bachelor’s degree.
•Experience applying machine learning to targeting, personalization, segmentation, recommendation, or lifecycle optimization.
•Strong command of statistical inference, causal inference, uplift modeling, heterogeneous treatment effects, and incrementality measurement.
•Advanced proficiency with SQL and Python for data extraction, transformation, modeling, and analysis.

Experience:8+ yearsMarketingGrowthMarketplaceProduct optimization

Education:PhD / Doctorate

Skills:CommunicationStakeholder managementBusiness judgmentMentorshipStorytelling

Languages:En

Tech Stack:SQLPythonAmplitudeGoogle AnalyticsOptimizelyGrowthBookSnowflakeDatabricksDbtAirflowGitLookerTableau

Company Brief

Go Fund Me

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Diego, United States

Founded: 2010

Website LinkedIn