Job description

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. Your Team You will be part of the Data Science & Insights team — driving experimentation, analytics, and modeling at the frontier of behavioral science and fintech, tackling problems most data teams never encounter. We translate the complexity of human generosity into rigorous, measurable insight that shapes products and decisions at scale. 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 types — you don't need a narrow lane to do excellent work Practical fluency using AI/LLM tools to accelerate analytical work (e.g., exploratory analysis, code assistance , documentation), along with an understanding of responsible AI use and data governance Your superpowers: You influence through evidence and storytelling — you don't just analyze; you move people and decisions with what you find You translate ambiguity into clarity — where others see a messy question, you see an analytical path forward You are data-informed, not data-driven — you know that data illuminates decisions, and you bring analytical rigor and human judgment in equal measure You are a custodian and evangelist of causal rigor — you champion well-designed, preemptive experiments as the gold standard for knowing what works, and you carry that conviction into every analytical conversation You are a player-coach — you lead with expertise, build strong processes, and make the people around you better You are energized by being early — you find building more exciting than inheriting a mature function You are comfortable with a shifting focus — you thrive when priorities evolve and don't need a narrow lane to do excellent work Our culture: We are a virtual team of award-winning and high-performing professionals who innovate and collaborate to fulfill our mission to instantly connect people to causes that matter most to them so they can change their world with kindness and generosity. Our four keys to success - integrity, heart, simplicity, and wow - fuel our passion to be recognized among the tech industry’s most inclusive and purpose-driven workplaces. We are steadfast in our conviction to overcome challenges while performing meaningful work alongside some of the most brilliant minds and biggest hearts. It propels our growth as individuals and as a team. We are committed to respecting each other in our workplace, firmly believing diversity is our strength. At the heart of everything we do are our giving community, our donors and our partner organizations. We lean on research and human-centered design to consistently push the envelope and innovate our products and customer experiences. We take great pride in providing competitive pay, full benefits to help care for you today and in the future, amazing perks (including flexible PTO), and, most importantly, the opportunity to put passion and purpose front and center. About Givelify Givelify is the most loved and trusted online and mobile giving platform. Along with its powerful donation management system, it’s the fastest-growing technology for advancing generosity in the world. We instantly connect people to their heart’s impulse to do good with award-winning products and experiences. A global community of over 2 million generous people supports their favorite churches, places of worship, nonprofits, and causes with over $7.5 billion in donations across more than 80,000 organizations. Givelify leads all giving apps on the App Store and Google Play Store with more than 135,000 verified, authentic reviews with an average 4.9 out of 5-star rating. Learn more at Givelify.com . Ready to join the Givelify team? Apply below.

Requirements

Must-haves

Senior Data Scientist
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.
Partner with cross-functional teams to define, instrument, and maintain the metrics that matter — ensuring the right things are being measured, consistently and trustworthy.
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.
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
Comfortable working across problem types — you don't need a narrow lane to do excellent work
Practical fluency using AI/LLM tools to accelerate analytical work (e.g., exploratory analysis, code assistance , documentation), along with an understanding of responsible AI use and data governance
You influence through evidence and storytelling — you don't just analyze; you move people and decisions with what you find
You translate ambiguity into clarity — where others see a messy question, you see an analytical path forward
You are data-informed, not data-driven — you know that data illuminates decisions, and you bring analytical rigor and human judgment in equal measure
You are a custodian and evangelist of causal rigor — you champion well-designed, preemptive experiments as the gold standard for knowing what works, and you carry that conviction into every analytical conversation
You are a player-coach — you lead with expertise, build strong processes, and make the people around you better

Nice-to-haves

Hands-on experience with modern data stacks, Databricks preferred; broader fluency with modern data stacks essentials

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonaillm

Platform: greenhouse
Effort: quick

Benefits

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