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Lead Data Scientist

11 hours, 5 minutes ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
CRM Databricks Machine Learning MLflow Python Scikit-learn SQL
Apply Now
Bloomerang

Bloomerang

Bloomerang provides nonprofit organizations with integrated software solutions for fundraising, donor and volunteer management, enabling them to enhance donor relationships, increase retention, and effectively mobilize volunteers to support their missi...

Specialized Consumer Services
251-1K
Founded 2012
View All Jobs 10

Description

  • Design and run experimentation to measure causal impact through randomized holdouts, uplift analysis, significance testing, and power analysis.
  • Build predictive and forecasting models for donor lifetime value, retention, lapse risk, and fundraising goal attainment.
  • Own model quality by defining evaluation standards, accuracy thresholds, and monitoring for AI products and agents.
  • Manage the ML lifecycle on Databricks and MLflow, including training, deployment, versioning, and drift/performance monitoring.
  • Set the technical direction for data science methods, tooling, modeling, measurement, and validation.
  • Partner daily with data engineers, AI engineers, and product teams across the stack.
  • Use AI tools such as Claude Code and Cursor daily for analysis, modeling, evaluation, and problem-solving.

Requirements

  • 8+ years of applied data science experience delivering production models that moved real business metrics.
  • Deep hands-on experience with causal inference and experimentation, including A/B testing, randomized holdouts, uplift modeling, treatment-effect modeling, significance testing, and power analysis.
  • Experience with predictive and statistical modeling for propensity, churn, retention, lifetime value, time series, forecasting, and calibration.
  • Strong Python and SQL skills, with familiarity in modern ML and statistics tools such as scikit-learn and gradient boosting.
  • Real experience deploying, versioning, and monitoring models with tools such as MLflow or Langfuse, or similar.
  • Comfort working on a lakehouse platform, with Databricks preferred.
  • Daily hands-on use of AI development tools such as Claude Code, Cursor, or similar environments.
  • Curiosity about LLM and agent evaluation techniques and the pace of AI-driven change.
  • Technical leadership experience in a principal-level individual contributor role.
  • Track record of cross-functional collaboration with data engineers, AI/ML engineers, and product.
  • Strong attention to security, data trust, and consent posture for cross-organization analytics.
  • Experience in nonprofit, fundraising, or CRM data is a plus.
  • Experience with experimentation platforms or sequential testing is a plus.
  • Familiarity with Data Vault 2.0 or medallion lakehouse modeling is a plus.

Benefits

  • Competitive salary range of $138,100 to $230,200.
  • Eligible for a discretionary bonus.
  • Generous health, vision, and dental insurance options.
  • Access to HealthiestYou for 24/7 confidential doctor access.
  • Competitive PTO package with 20 PTO days, 3 flex days, 4 optional volunteer days, and 12 paid holidays.
  • Paid parental leave.
  • 401(k) match.
  • Fully remote role within the U.S. and select Canadian provinces, with optional onsite work in Indianapolis, IN.
  • Company-shipped equipment for remote work.

Interested in this position?

Apply directly on the company website

Apply Now

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