Senior Data Scientist

Risepoint

. Own the intelligence layer powering Risepoint's engagement with students throughout their journey .

Posted 10/7/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/ML initiatives, delivering predictive models, and driving measurable outcomes in student engagement and retention. Proficient in managing cross-functional teams and translating technical insights into actionable strategies for diverse audiences.

Highest-signal resume keywords

AI/ML Project ManagementPredictive AnalyticsPython ProgrammingDatabricks ProficiencyA/B Testing Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied Machine LearningPredictive ModelingRecommendation SystemsCausal InferenceUplift ModelingSQLScikit-LearnXGBoostTensorFlowPyTorch

Soft Skills

Excellent CommunicationMentoringCollaboration

Tools & Technologies

MLFlowDbtDagster

Industry Keywords

Higher EducationEdTechStudent Success PlatformsConsumer TechPersonalization

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Own the intelligence layer powering Risepoint's engagement with students throughout their journey
Lead end-to-end AI/ML initiatives from scoping and design through cross-functional implementation and measurable outcomes
Deliver the “Next Best Experience” predictive engine for personalized, timely student outreach
Drive retention, engagement, enrollment conversion, and pipeline efficiency outcomes
Coordinate across Product, Engineering, CX, and university partner teams
Identify and scope new AI/ML opportunities and advocate for prioritization with leadership
Manage key vendor and software-provider relationships as a workstream leader
Build and deploy predictive models for churn risk, engagement propensity, and success likelihood
Lead next-best-action logic design and production deployment
Prototype, test, and productionize models using Databricks, MLFlow, dbt, and Dagster
Partner with data engineers on reliable pipelines and feature stores
Derive behavioral insights from speech analytics and structured CRM/LMS data
Design and lead A/B testing programs and make ship, iterate, or stop decisions
Establish feedback loops and production performance monitoring for continuous model improvement
Translate technical findings into executive-ready narratives
Mentor teammates through code reviews, pair work, and knowledge-sharing
Improve pipelines, feature documentation, shipping velocity, and team technical standards

Requirements

What you’ll need

Proven track record of delivering measurable consumer and business impact through AI/ML initiatives, including scoping, managing implementation, and owning outcomes end-to-end
Experience as a workstream leader designing, managing, and delivering AI/ML projects in a cross-functional environment
5–8+ years in applied machine learning or data science
Background in predictive analytics, recommendation systems, and experimentation, including A/B testing, causal inference, and uplift modeling
Deep expertise in Python and SQL
Proficiency with scikit-learn, XGBoost, TensorFlow, or PyTorch
Experience with Databricks, MLFlow, dbt, and Dagster, or demonstrated ability to ramp quickly on a modern MLOps stack
Comfort working with complex, multi-source datasets, including CRM, LMS, communication logs, and speech analytics
Excellent communication across technical and non-technical audiences, including executives
Bachelor's or Master's degree in a technical discipline such as computer science, statistics, econometrics, mathematics, or engineering
PhD in a technical discipline is valued but not required
Experience in education, consumer tech, personalization, or a complex behavioral domain is ideal
Experience in higher education, edtech, or student success platforms is desirable
Prior work building or operationalizing next best action or propensity-to-engage models at scale is desirable

Benefits

Comp & perks

Equal-opportunity employer
Diverse and inclusive workforce