Staff Data Scientist - Sales Intelligence at GoFundMe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

8+ years of experience in data science or applied ML, with at least 4–5 years focused on sales analytics, revenue intelligence, or customer lifecycle modeling
Master’s or Ph.D. in a quantitative discipline (Statistics, Economics, Computer Science, Mathematics, or related field) or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, performance tuning)
Hands-on experience designing, analyzing, and interpreting A/B tests and experimentation frameworks
Expertise in statistical inference, causal modeling (regression, propensity scoring), uplift modeling, and marketing attribution models (multi-touch attribution, Markov chains)
Proven track record in time-series forecasting and budget allocation models
Familiarity with ETL frameworks, data warehousing, and APIs; hands-on experience with Databricks and Snowflake is a plus
Data visualization skills using Looker or equivalent BI tools; strong storytelling
Located in the San Francisco, Bay Area, with an in-office requirement of 3x a week

Responsibilities

Lead the development of sales intelligence models: Design, prototype, and deploy models that score leads, predict churn, and surface upsell and cross-sell opportunities across our NPO customer base
Develop and evolve customer health frameworks: Build predictive models that quantify customer engagement, satisfaction, and retention risk, helping Sales and Success teams proactively address churn
Operationalize AI for sales enablement: Leverage NLP, embeddings, and large language models (LLMs) to extract, normalize, and retrieve insights from structured and unstructured sources - including sales notes, emails, call transcripts, CRM data, and support tickets - creating a unified knowledge layer for intelligent sales workflows
Build data-driven playbooks: Create systems that recommend relevant talking points, products, or case studies for sales meetings based on historical interactions and customer attributes
Advance predictive and prescriptive modeling: Develop time-series and optimization models to forecast sales outcomes and recommend next-best actions for account growth
Partner with GTM systems and data engineering: Ensure robust data pipelines, feature stores, and feedback loops that enable continuous model improvement
Act as a technical thought leader: Define best practices for model validation, feature engineering, and productionization in go-to-market (GTM) AI applications
Collaborate cross-functionally: Partner with Sales, Marketing, Customer Success, and Product teams to interpret insights, influence strategy, and embed intelligence directly into sales workflows
Mentor and elevate: Provide technical mentorship to data scientists and analysts, helping scale advanced analytical and AI practices across the Decision Science team

Skills

Machine Learning

NLP

LLMs

Embeddings

Predictive Modeling

Lead Scoring

Churn Prediction

Customer Health

Data Science

GoFundMe

Online platform for crowdfunding and fundraising

About GoFundMe

GoFundMe is an online platform that enables individuals and organizations to raise money for various needs and aspirations. Users can create fundraising campaigns in just five minutes by sharing their stories and soliciting donations from their networks and beyond. The platform caters to a wide range of clients, including those facing medical emergencies, families in need of memorial funds, students seeking educational support, and nonprofits looking for financial assistance. GoFundMe operates globally and has built a community of over 100 million people who have collectively raised $25 billion through more than 200 million donations. The company generates revenue through voluntary tips from donors and a small transaction fee on each donation, which helps cover payment processing costs and maintain platform security. GoFundMe's goal is to provide a safe and user-friendly experience for both donors and recipients, leveraging community support to help people meet their financial needs.

Redwood City, CaliforniaHeadquarters

2010Year Founded

$1,178.5MTotal Funding

SERIES_ACompany Stage

Fintech, Social ImpactIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Hybrid Work Options

Family Planning Benefits

Commuter Benefits

Parental Leave

Unlimited Paid Time Off

Mental Health Support

Wellness Program

Professional Development Budget

Conference Attendance Budget

Risks

Emerging crowdfunding platforms with lower fees could attract users away from GoFundMe.

Partnership with Meta may expose GoFundMe to privacy concerns, affecting user trust.

Reliance on voluntary tips may be unsustainable during economic downturns.

Differentiation

GoFundMe is the most trusted name in crowdfunding since its founding in 2010.

The platform serves diverse clients, from individuals to nonprofits, globally.

GoFundMe's user-friendly interface allows fundraisers to start campaigns in five minutes.

Upsides

Collaboration with Meta enhances social sharing, boosting fundraiser reach and effectiveness.

Specific relief funds for disasters position GoFundMe as a go-to emergency platform.

Partnerships with organizations enhance GoFundMe's reputation as a socially responsible platform.

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