Risepoint

Risepoint

Principal Data Scientist

US - Remote · Principal

Sponsorship not specifiedDetected 1 day ago
PythonCode ReviewSQLDatabricksDockerKubernetesTerraformCI/CDMachine LearningTensorFlowPyTorchscikit-learnAirflowdbtData EngineeringData ScienceMLOpsAI OrchestrationStatisticsA/B TestingCRMLeadershipCommunicationCollaboration

About the role

  • Your decisions, technical expertise and data-driven recommendation will determine who gets reached, when, and how-translating data science into student outcomes that help working adults succeed in programs that change their lives.

Responsibilities

  • Set direction for and lead AI/ML initiatives end-to-end-scoping ambiguous business opportunities, defining the problem and success criteria, designing the technical approach, managing implementation, and driving outcomes-coordinating across Product, Engineering, CX, Partnership, and university partner teams.
  • Own accountability for delivering measurable business outcomes from each initiative: retention lift, engagement improvement, enrollment conversion, and pipeline efficiency.
  • Drive alignment and decision-making across teams at each stage of an initiative's lifecycle, resolving moderately complex, cross-functional problems independently and proactively while escalating only when tradeoffs require leadership decision.
  • Identify and scope net-new AI/ML opportunities that deliver impact for students, university partners, and Risepoint's business; frame options, recommend a path forward, and advocate for prioritization with leadership.
  • Manage relationships with key vendors and software providers as a workstream leader, ensuring delivery commitments are met.
  • Influence peers, managers, and senior stakeholders across BT and adjacent business functions-including Partnership and Customer Experience-by translating technical tradeoffs into business implications and building support for shared decisions without direct authority.
  • Build and deploy predictive models-including churn risk, engagement propensity, and success likelihood-that power proactive student outreach and are monitored continuously in production.
  • Lead the design and implementation of "next best action" logic in close partnership with Product and CX, from logic design through production deployment.
  • Own clean, reliable data pipelines and feature stores that support model development and production deployment at scale, doubling as the data engineer for the workstream.
  • Architect, build, and own scalable, reliable data pipelines and the underlying data infrastructure (lakehouse, warehouse, and feature stores) end-to-end-operating as the team's principal data engineer.

Requirements

  • Comfort working with complex, multi-source datasets (CRM, LMS, communication logs, speech analytics).
  • Bachelor's or Master's degree in a technical discipline (computer science, statistics, econometrics, mathematics, or engineering).
  • PhD in a technical discipline (not required, but valued).
  • Familiarity with human-in-the-loop AI systems and responsible ML practices (bias mitigation, model transparency, fairness metrics).
  • 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.

Nice to have

  • Strong background in predictive analytics, recommendation systems, and experimentation (A/B testing, causal inference, uplift modeling).
  • Deep expertise in Python and SQL
  • proficiency with ML libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch).
  • Experience with Databricks, MLFlow, dbt, and Dagster-or demonstrated ability to ramp quickly on a modern MLOps stack.

Skills

  • Automate production workflows with orchestration tools (Dagster, Airflow) for scheduling, dependency management, and pipeline reliability.
  • Establish feedback loops and real-world performance monitoring frameworks that enable continuous model improvement.
  • Influence the data science and AI roadmap as the technical expert and thought leader to Product and Engineering leadership.

Benefits

  • Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges.
  • 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.
  • You will shape and execute the technical vision for and delivery of the "Next Best Experience" platform: the predictive engine that turns raw behavioral signals into personalized, timely outreach.
  • Champion a continuous-learning environment, driving adoption of and experimentation with the latest AI-assisted coding and collaboration tools to multiply team velocity.

Company info

  • You will bring our mission to life by leading initiatives that make the student journey smarter and more human at the same time.
  • How You Will Bring Our Mission to Life
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This listing is sourced directly from Risepoint's careers page and normalized into a canonical job model.