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Remote, Oregon, United States
Remote only
Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.
The Impact You Will Make
You will lead the data science behind our Student Journey Platform — a system designed to know what a student needs before they ask, intervene at the moments that matter most, and personalize the experience across every university we serve. This isn't about reactive tooling. It's about building the intelligence layer that orchestrates real-time decisions across the full arc of a student's journey — from first inquiry through completion — and doing it at a scale that no single institution could achieve alone.
At Risepoint, data science isn't a reporting function — it's the engine powering predictive AI voice and text experiences that meet students where they are and guide them where they need to go. As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live in dashboards. It will show up in conversations, decisions, and outcomes for hundreds of thousands of students.
You'll lead a multidisciplinary team across three interrelated domains:
Machine learning models & Lifecycle — Build cutting edge machine learning models and own the end-to-end lifecycle of production ML models powering predictive and conversational AI experiences. Drive next best action, propensity, and intervention models from discovery through deployment, with governance and monitoring frameworks that ensure they stay accurate and reliable in the wild.
Multimodal Intelligence (Voice, Text & Generative AI) — Architect frameworks to extract high-signal insights from voice, text, and behavioral interaction data — spanning classical NLP, large language models, and generative AI techniques — to surface what structured data alone will never reveal. Integrate disparate signals to build a unified, real-time view of student intent and experience.
Tech Product Analytics & Experimentation — Drive the experimentation roadmap (A/B testing, feature rollouts, behavioral studies) with statistical rigor to ensure AI-powered product decisions are backed by hard data. Define evaluation standards for generative and predictive features, and close the loop between model outputs and product requirements.
Technical Leadership — Scale a multidisciplinary team by fostering a culture of ownership, analytical rigor, and rapid iteration. Partner with Product and Engineering to define technical success metrics that translate directly into business ROI. Distill complex technical outcomes into compelling narratives that drive alignment and action at the leadership level.
Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.