Senior Data Scientist

Givelify

2d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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.
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.