Manager, Data Science Marketing San Francisco, CA 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 accommodationrequests@gofundme.com. 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 accommodationrequests@gofundme.com.

Requisition Number: 2370720 ` - Undergraduate degree or equivalent experience. ` Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

• Collaborate with seed engineers, breeders, biologists, and data engineers • Translate complex statistical results into clear, decision-ready insights • Design and analyse biological and experimental datasets with statistical rigor • Build predictive models for breeding and product development decisions • Apply machine learning where it adds meaningful value beyond classical statistics • Ensure experimental conclusions are robust, reproducible, and well-validated

Role Description We are looking for a hands-on Senior Data Scientist with strong expertise in traditional Machine Learning, retail analytics, pricing optimization, and demand forecasting. The ideal candidate will have experience working in Retail, CPG, or E-Commerce environments and will play a key role in designing and scaling ML-driven pricing and promotion solutions. - Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning. - Build and improve statistical and machine learning models for: - Demand forecasting - Price elasticity modeling - Promotion optimization - Inventory and revenue forecasting - Design, build and deploy robust ML pipelines in Databricks, build model monitoring systems, and production-ready APIs. - Ability to design and evaluate transformer-based time series forecasting models for large-scale retail sales forecasting and demand planning. - Drive experimentation, model evaluation, and continuous improvement of forecasting and pricing models. - Analyze large-scale structured and unstructured retail datasets to uncover trends, customer behavior patterns, and pricing insights. - Develop data-driven strategies that help maximize revenue, profitability, and pricing efficiency across products and categories. - Apply advanced statistical techniques and machine learning algorithms to solve complex retail business problems. - Collaborate closely with Product, Engineering, Data Engineering, and Business teams to translate business requirements into scalable ML solutions. - Mentor junior data scientists and provide technical guidance across cross-functional teams. - Communicate analytical findings and business recommendations clearly to both technical and non-technical stakeholders. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. - 5+ years of hands-on experience in Machine Learning and Data Science. - Strong background in mathematics, probability, statistics, and regression analysis. - Solid understanding of traditional machine learning algorithms and statistical modeling techniques. - Strong programming expertise in Python, including: - Pandas - NumPy - Object-Oriented Programming (OOP) - Scikit-learn - TensorFlow or similar ML frameworks - Experience working with PySpark and large-scale data processing systems. - Strong SQL skills and experience working with relational databases and data warehouses. - Experience developing APIs and ML services using Flask or similar frameworks. - 5+ years of experience in Retail, CPG, or E-Commerce domains with expertise in: - Demand forecasting - Price elasticity - Promotion optimization - Pricing strategy - Experience with MLOps platforms and deployment pipelines such as: - Databricks - Large Language Models (LLMs) - Google Vertex AI - Amazon SageMaker - Azure Machine Learning - Experience building and maintaining CI/CD pipelines for ML workflows. Company Description Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.