Data Scientist (Varying Levels)

United States - San Francisco · San_franciscoFull-Timemid

Data ScienceData ScientistData & AI

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Overview

At Windfall, data science is central to our mission as a people data and AI company.

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Data ScienceData ScientistData & AI

At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models.

We are looking for a product-oriented Senior or Staff Data Scientist to join our Modeling & AI team. In this role, you will be on the front lines of customer impact, building custom propensity models that directly address our clients' most significant challenges. You will work at the intersection of customer data and Windfall's rich data assets, designing creative solutions and building end-to-end modeling pipelines that turn data into measurable value.

This is a unique opportunity to see your work in action, collaborating closely with our customers to build everything from sophisticated marketing and lead score models to donation likelihood models that power the missions of the world's top nonprofit organizations.

Build and Deploy Custom Models: You will own the end-to-end lifecycle of customer-facing machine learning models—from initial data exploration and feature engineering to model training, validation, deployment, and ongoing evaluations.

Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models.

Drive Product Innovation: You will act as a key technical partner to our Product and Customer Success teams, providing insights that shape our modeling strategy and helping to translate complex customer needs into scalable data science solutions.

Think Outside the Box: You will tackle ambiguous problems and develop creative modeling strategies to address unique customer challenges across a variety of industries.

Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non-technical stakeholders.

5+ years of professional industry experience in a data science or machine learning role.

Proven, hands-on experience building and deploying production-level predictive models (e.g., classification, regression, clustering).

Expert proficiency in Python and its core data science libraries (e.g., pandas, scikit-learn, NumPy, XGBoost).

Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.

A strong product-oriented mindset, with a demonstrated ability to connect data science work to tangible business value and customer success.

Experience with the full machine learning lifecycle, including scoping, feature engineering, validation, deployment, and monitoring.

The ability to communicate technical ideas to a non-technical audience.

Experience with containerization technologies like Docker and an understanding of how they are used to deploy models.

Experience building and orchestrating simple data pipelines using tools like Airflow.

Experience working in marketing analytics, ad-tech, fintech, or for a nonprofit organization.

A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics.