Senior Data Scientist - US

• Partnership models. A distinct set of predictive models, tuned to each partner’s customer profile and separate from our core product models. You’ll pick it up, iterate and improve on existing models and build new models as partners come on board, and get to the bottom of prediction issues along the way (why does this donor have this score? what in this client’s data is throwing the model off?).
• Prospect AI. Our best-in-class prospect research tool, used by hundreds of nonprofits today and thousands soon. It uses agentic AI to research and build rich profiles on prospective donors - and the engineering team is driving it to run far faster and cheaper at scale. Your job is the data and quantitative side: solving identity resolution and data quality problems, building out the underlying profile database, and proposing quantitative solutions to large-scale data issues. If you like finding the signal in huge, messy datasets, this is your playground.

4+ years applied data science or ML experience, including production model deployment

• Strong Python and standard ML frameworks
• Solid grasp of experimental design, model validation, and statistical methods
• A self-starter who takes end-to-end ownership
• LLM / generative AI experience - feature development, evaluation, or hybrid approaches

Bonus points

• Fundraising, wealth screening, or nonprofit data experience
• Familiarity with donor propensity or wealth modelling
• AWS or equivalent for deployment and monitoring

• Fully covered “silver” tier healthcare plan (with medical/dental/optical)
• 401k plan, matched up to 5%
• 4 weeks paid leave (with additional leave if moving house, having a baby, etc, subject to our internal policies)
• 10 days paid sick leave
• Professional development budget for courses, mentoring or conferences and additional home office budget
• Additional Paid Volunteering Leave to give back to the causes that matter to you