Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the intelligence framework that drives Risepoint's engagement with students throughout their academic journey.

• Spearhead comprehensive AI/ML projects from initial scoping and design to cross-functional implementation and measurable results.

• Create the “Next Best Experience” predictive engine for personalized and timely outreach to students.

• Enhance retention, engagement, enrollment conversion, and pipeline efficiency metrics.

• Collaborate with Product, Engineering, Customer Experience, and university partner teams.

• Identify and define new AI/ML opportunities while advocating for prioritization with leadership.

• Oversee key vendor and software-provider relationships as a leader of workstreams.

• Develop and deploy predictive models for assessing churn risk, engagement likelihood, and success probability.

• Lead the design and deployment of next-best-action logic.

• Prototype, test, and implement models utilizing Databricks, MLFlow, dbt, and Dagster.

• Collaborate with data engineers to establish reliable data pipelines and feature stores.

• Extract behavioral insights from speech analytics and structured CRM/LMS data.

• Design and execute A/B testing programs, making decisions to ship, iterate, or halt initiatives.

• Set up feedback loops and monitor production performance for ongoing model enhancement.

• Convert technical findings into narratives that are suitable for executive presentation.

• Mentor colleagues through code reviews, collaborative work, and knowledge-sharing sessions.

• Enhance pipelines, feature documentation, shipping speed, and the technical standards of the team.

⛳️ Requirements

• Demonstrated success in delivering measurable impact for consumers and businesses through AI/ML projects, including scoping, managing implementation, and owning end-to-end outcomes.

• Experience as a workstream leader responsible for designing, managing, and executing AI/ML projects within a cross-functional setting.

• 5 to 8+ years of experience in applied machine learning or data science.

• Proficient background in predictive analytics, recommendation systems, and experimentation, including A/B testing, causal inference, and uplift modeling.

• Strong expertise in Python and SQL.

• Familiarity with scikit-learn, XGBoost, TensorFlow, or PyTorch.

• Experience with Databricks, MLFlow, dbt, and Dagster, or a proven ability to quickly adapt to a modern MLOps stack.

• Comfort in working with complex, multi-source datasets, including CRM, LMS, communication logs, and speech analytics.

• Excellent communication skills for engaging both technical and non-technical audiences, including executives.

• Bachelor’s or Master’s degree in a technical field such as computer science, statistics, econometrics, mathematics, or engineering.

• A PhD in a technical discipline is preferred but not mandatory.

• Experience in education, consumer technology, personalization, or a complex behavioral domain is highly desirable.

• Background in higher education, edtech, or student success platforms is a plus.

• Prior experience in developing or operationalizing next best action or propensity-to-engage models at scale is advantageous.

🏝️ Benefits

• Equal-opportunity employer.

• Diverse and inclusive workforce.