Manager, Data Science (Marketing)

Want to help us help others? We’re hiring! GoFundMe is the world’s 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. We’re looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery. 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 Build a strong AI and data science foundation : Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making. Lead end-to-end data science & AI projects : From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring. Establish best practices : Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption. Drive marketing science innovation : Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend. Advance forecasting & ROI modeling : Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency. Partner cross-functionally : Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact. Invest in people : Mentor, coach, and elevate a team of high-performing data scientists; foster a culture of technical rigor, curiosity, and applied innovation. Push the frontier of applied AI in marketing : Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency. You Experience & Education 8+ years of experience in data science roles with direct impact on marketing , growth, or revenue optimization. Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience. Technical Skills Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). (Please note, advance python and SQL proficiency will be tested during the interview process for this position.) Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models. Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions. Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent). Strong data storytelling and executive presentation abilities. Leadership & Collaboration Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations. Experience developing senior data scientists and elevating team practices. Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments. Preferred Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude). Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization. Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis). Knowledge of multi-arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization. Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks. Why you’ll 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 great , find a way , earn trust every day , fueled 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 total annual salary for this full-time position is $202,000 - $303,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In 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 the specific total compensation package based 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 [email protected] . 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 available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , 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 GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom . 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 viewed here . 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 with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact [email protected] .