Senior Data Scientist

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Risepoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.

📋 Description

• 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

• 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

• Equal-opportunity employer • Diverse and inclusive workforce