Senior Data Scientist at Givelify

Remote, CA. This Full time on site position offers great opportunities for career growth.

Senior Data Scientist Givelify is a fintech-for-good company where brilliant minds come to power the most loved and trusted online and mobile giving app platform. Thanks to over 2 million generous donors, we've helped more than 80,000 nonprofits and places of worship raise over $7.5 billion. Together, they're changing their world with kindness and generosity. Inc. 5000, the Stevies® Awards, Gartner, Forbes, and many more have recognized our story, innovations, and achievements. Our award-winning team builds products and experiences that put more good into the world. We love to take on big challenges because we know our work matters. Make an impact at one of the fastest-growing private companies in the U.S. Be part of a talented team of big-hearted individuals, earning competitive pay with excellent benefits.

About your role

We're seeking a Senior Data Scientist to be an early and foundational member of a growing Data Science & Insights team — with a focus spanning product and business analytics at Givelify. Reporting to the Head of Data Science & Insights, you will work across the full analytics stack — dashboards, metrics, experimentation, and modeling — with an immediate focus on building the business intelligence infrastructure that gives Givelify transparent, reliable visibility into how the organization is performing. This is a generalist senior individual contributor role by design. As the team grows and specialization becomes possible, your focus will evolve with it. For now, breadth is the asset — you are someone who can move fluidly across problem types and deliver rigorously wherever you land.

Senior Data Scientist will get to:

• Own the development of org-wide business dashboards that provide transparent, reliable insight into company performance, functional health, and execution velocity — the infrastructure that helps Givelify understand how it is operating at any moment.
• Partner with cross-functional teams to define, instrument, and maintain the metrics that matter — ensuring the right things are being measured, consistently and trustworthy.
• Partner with Product and cross-functional teams to design and execute rigorous A/B and multivariate experiments that establish causation before solutions launch — embedding an experiment-first mindset into how Givelify builds and decides.
• Work alongside the Data Science & Insights team to continuously raise the bar on experimentation at Givelify — tackling hard methodological challenges like measuring the impact of experience-driven features, managing concurrent experiments, and developing approaches that make rigorous testing possible even where it has historically been difficult.
• Build predictive and behavioral models that deepen understanding of donor and organizational behavior — segmentation, churn, propensity, and beyond.
• Translate complex analytical findings into clear, decision-ready recommendations for executives and cross-functional stakeholders.

To be successful in this role, you'll also:

• Own your outcomes completely — you hold yourself accountable for scoping, delivery, and impact, and you execute collaboratively, knowing the best analytical work at Givelify is built with teams, not in isolation.
• Proactively surface opportunities to bring experimentation and causal rigor to decisions across the organization — making the experiment-first mindset contagious.
• Bring stakeholders into the analytical process early and continuously — from question definition through to recommendation — so that insights translate into action.
• Lead with expertise and invest in others — as an early member of a growing function, your impact extends beyond your own output to how the team gets better.

Your experience:

• 5-8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics
• Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field
• Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making
• Solid experience with experimental design and causal inference — A/B testing, power analysis, difference-in-differences, propensity methods — and translating results into business decisions
• Strong background in predictive and behavioral modeling — regression, classification, segmentation, time series, gradient boosting — with a focus on business application
• Expert in SQL; advanced proficiency in Python (pandas, scikit-learn, statsmodels, PySpark) and/or R
• Hands-on experience with modern data stacks, Databricks preferred; broader fluency with modern data stacks essentials
• Comfortable working across problem