Build Predictive Models: Design and implement machine learning models to predict donor behavior, giving capacity, and engagement propensity across all Kindsight products.
Maximize the Value From Client and Third-Party Data: Evaluate the wide-range of data gathered from clients and current third-party vendors to identify new metrics and insights using existing data.
Identify New Data Collection Opportunities: Identify additional data that could be collected within each product to develop stronger predictive models.
Benchmarking: Design new metrics to benchmark client fundraising potential and performance.
Partner with Head of AI: In close collaboration with our Head of AI, build agents and generative AI that leverages new predictive model results to fuel fundraising efforts.
Architect & Mentor: Lead the design of scalable ML pipelines and mentor junior data scientist on best practices in statistical modeling and experimental design.

Requirements

Intermediate Experience: At the junior level, 3+ years of data analytics, data science, and machine learning experience.
Senior Experience: 6+ years of data analytics, data science, machine learning experience, and preferably management experience.
Experience working in Agile environments, with a strong understanding of Scrum principles.
Technical Acumen: Mastery of Python or R to clean, structure, and model data. Preferably, experience with AWS.
Problem Solving: Strong, detail-oriented problem solving skills and ability to work independently.
Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningpredictive modelingdata analyticsdata sciencestatistical modelingexperimental designdata cleaningdata structuringbenchmarkingAgile

problem solvingdetail-orientedindependent workcommunicationteam collaborationmentoring