Senior Data Scientist, AI

Join Us at Gloo: Help Us Build the Leading Technology Platform to Serve the Faith Ecosystem. 

At Gloo, we believe relationships catalyze growth—and when technology serves relationships, the world can be transformed, one life at a time.  We recognize the faith ecosystem is broad and diverse. It includes churches, parachurch ministries and thousands of non-faith based organizations committed to advancing the flourishing of people. Our purpose is simple yet profound: to shape technology as a force for good, so that people can flourish and communities can thrive.. Therefore, our mission is to build the leading technology platform to serve the faith ecosystem.

We are a mission-driven organization, guided by four core principles:

• Shape Technology for Good: Whether it’s AI tools, dashboards, or communication tools, we empower leaders with values-aligned solutions that amplify their missional impact with tools they can trust.
• Serve Those Who Serve: From pastors and donors to network leaders and content creators—we’re passionate about providing technology that helps them do more of what they are called to do. 
• Release Collective Strength: We connect the diverse faith ecosystem—churches, parachurch ministries and thousands of non-faith based organizations committed to advancing the flourishing of people—so they can achieve more together than they could alone.
• Enable Ecosystem Trust: Trust is the foundation of a connected faith community. We enable transparency, digital rights management, and simplicity to foster confident collaboration.

We are looking for talented, mission-driven individuals to join our team as we create innovative technology solutions that inspire and empower people to release the passion in every person, including you, to be all they were created to be. If you’re ready to make an impact with your talents and skills toward this purpose, we’d love to hear from you!

The Opportunity:

Join Gloo’s AI Research & Data Science team and turn frontier LLM research into evidence-backed product decisions that help people grow. You’ll own the end-to-end experimentation loop—from designing causal tests and faith-aligned evaluation metrics to automating dashboards that keep model quality, bias, and cost in check. Pastors, parents, and everyday seekers will trust the insights we deliver because you’ll make sure the data behind them is rock-solid.

Your day-to-day blends hands-on analytics with strategic impact:

• Morning: run a power analysis on yesterday’s live-traffic experiment, then pull terabytes of telemetry from Snowflake to fine-tune a hallucination detector in PyTorch.
• Mid-day: pair with an ML engineer to wire your new “faith-alignment” score into the CI pipeline so every model checkpoint is auto-graded before it hits staging.
• Afternoon: present a causal-impact report to product and design, translating statistical nuance into a clear go/no-go decision for next week’s launch.

You won’t do it alone. You’ll collaborate daily with research scientists, backend engineers, PMs, and Design who care as deeply about human flourishing as they do about clean code. Together you’ll ship world-class eval suites, trusted data pipelines, and self-service insights that let others build on our work.

If you’re ready to trade big-tech bureaucracy for autonomy, mission, and the chance to invent what doesn’t exist yet, we’d love to meet you. This hybrid role is based in Pittsburgh, PA or Palo Alto, CA, with quarterly summits in Boulder and the freedom to see your ideas move from prototype to production—fast.

What You’ll Do:

Research & Technical Excellence

• Design gold-standard evaluation pipelines. Build offline + online test harnesses that quantify accuracy, hallucination, bias, latency, cost, and faith alignment for every new model checkpoint—then light them up in CI so bad pushes never reach staging.
• Invent metrics that matter. Translate “human flourishing” into measurable signals (e.g., uplift scores, pastoral-fit indices) and validate them with causal inference, inter-rater reliability, and power analyses.