Senior Data Scientist

Role Description

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.

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.
• Partner with cross-functional teams to define, instrument, and maintain the metrics that matter.
• Partner with Product and cross-functional teams to design and execute rigorous A/B and multivariate experiments.
• Work alongside the Data Science & Insights team to continuously raise the bar on experimentation at Givelify.
• Build predictive and behavioral models that deepen understanding of donor and organizational behavior.
• 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.
• Proactively surface opportunities to bring experimentation and causal rigor to decisions across the organization.
• Bring stakeholders into the analytical process early and continuously.
• Lead with expertise and invest in others.

Qualifications

• 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.
• Strong background in predictive and behavioral modeling — regression, classification, segmentation, time series, gradient boosting.
• Expert in SQL; advanced proficiency in Python (pandas, scikit-learn, statsmodels, PySpark) and/or R.
• Hands-on experience with modern data stacks, Databricks preferred.
• Comfortable working across problem types.
• Practical fluency using AI/LLM tools to accelerate analytical work.

Requirements

• You influence through evidence and storytelling.
• You translate ambiguity into clarity.
• You are data-informed, not data-driven.
• You are a custodian and evangelist of causal rigor.
• You are a player-coach.
• You are energized by being early.
• You are comfortable with a shifting focus.

Benefits

• Competitive pay.
• Full benefits to help care for you today and in the future.
• Amazing perks including flexible PTO.
• Opportunity to put passion and purpose front and center.