Staff Data Scientist

Want to help us help others Were hiring!

GoFundMe is the worlds most powerful community for good dedicated to helping people help each other. By uniting individuals and nonprofits in one place GoFundMe makes it easy and safe for people to ask for help and support causes for themselves and each other. Together our community has raised more than $40 billion since 2010.

Were looking for a Staff Data Scientist to help shape how GoFundMe uses data science to grow our impact across marketing growth and product. This role will serve as a senior individual contributor who leads high-impact workstreams across go-to-market and product surfaces with a primary focus on helping the business make better decisions about audience strategy acquisition retention personalization experimentation and investment efficiency.

You will partner closely with leaders across Data Marketing Product Growth Finance and Engineering to define technical strategy build scalable measurement and modeling frameworks accelerate impact through modern AI-enabled workflows and translate complex analyses into clear recommendations that improve outcomes for our users customers and business.

Candidates considered for this role will be located in the San Francisco Bay Area.
There will be an in-office requirement of 3x a week.

The Job

• Lead high-impact data science initiatives across marketing growth and product from problem definition through methodology execution interpretation and recommendation.
• Define org-level technical strategy identify high-leverage opportunities and establish best practices for experimentation causal measurement modeling AI-assisted development and decision science.
• Design analyze and interpret experiments and quasi-experiments; build scalable frameworks to estimate incrementality treatment effects and long-term business value.
• Develop ML uplift heterogeneous treatment effect and adaptive experimentation models to improve targeting segmentation personalization lifecycle optimization audience strategy budget allocation and product decisions.
• Partner with Marketing Growth Sales Finance and Product to evaluate acquisition retention ROI user journeys funnels marketplace dynamics donation conversion and engagement.
• Use AI tools to accelerate prototyping analysis coding debugging documentation and repetitive workflows without compromising quality accuracy or review standards.
• Translate complex analyses into clear recommendations for technical non-technical and executive audiences.
• Collaborate with Data Analytics and Product Engineering to improve instrumentation data quality experimentation infrastructure and reusable data science workflows.
• Mentor data scientists and analysts through design reviews model reviews methodology discussions AI-enabled workflows and shared best practices.

You

• 8 years of experience leading data science applied statistics or machine learning projects with measurable business impact.
• Masters degree or Ph.D. in a quantitative field or equivalent applied experience coupled with a bachelors degree.
• Experience with marketing growth marketplace and/or product optimization problems.
• Strong command of statistical inference causal inference uplift modeling heterogeneous treatment effects treatment/control frameworks and incrementality measurement.
• Experience applying machine learning to targeting personalization segmentation recommendation lifecycle optimization or similar problems.
• Familiarity with adaptive experimentation including frequentist A/B tests multi-arm bandits contextual bandits and/or related optimization methods.
• Advanced proficiency with SQL and Python for data extraction transformation modeling and analysis.
• Experience using AI-assisted tools to increase the speed and quality of analysis coding iteration and communication.
• Ability to define technical strategy identify reusable patterns and raise the quality of data science work across teams
• Strong business judgment and stakeholder management skills.
• Excellent communication and storytelling skills including experience presenting to executive audiences.
• Experience mentoring data scientists analysts or other technical team members.

Preferred

• Experience with marketing measurement methods such as media mix modeling multi-touch attribution channel incrementality forecasting budget allocation optimization or ROI modeling.
• Experience with web mobile product or marketplace analytics tools such as Amplitude Google Analytics Optimizely or GrowthBook.
• Familiarity with modern data platforms and workflows such as Snowflake Databricks dbt Airflow Git Looker Tableau or similar tools.
• Experience operationalizing AI or ML workflows with engineering partners.

Why youll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse passionate and talented team in a fast-paced forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work family planning along with generous parental leave flexible time-off policies and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning development and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity equity and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values:impatient to be greatfind a wayearn trust every dayfueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race color religion ethnicity nationality or national origin sex sexual orientation gender gender identity or expression pregnancy status marital status age medical condition mental or physical disability or military or veteran status.

The annual U.S. salary range for this full-time position is $179500 - $269500.The company also offers equity and other benefits to employees including healthcare dental vision life insurance and 401(k) saving addition to this wage there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills experience education or training. Your recruiter can share more about thespecific total compensation packagebased on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process please contact us at.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is availablehere. By submitting your application you are agreeing to our use and processing of your data as required.

Learn more about GoFundMe:

Were proud to partner an independent public charity to extend the reach and impact of our generous community while helping drive critical social change. You can learn more about activities and impact in theirFY 25 annual report.

Ourannual Year in Help reportreflects our communitys impact in advancing our mission of helping people help each other.

For recent company news and announcements visit ourNewsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT) as defined by New York City Local Law 144. As part of the hiring process we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewedhere. The tool evaluates your professional experience technical skills education and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance withGoFundMes Personnel Privacy Noticeand applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation please contact.