{bc}
Apply
workday

Senior Data Scientist

Risepoint
Remote, USA
Full-time
Senior · 5+ years experience
Remote
Discovered 2 weeks ago
databricksdbtmlflowpythonpytorchscikit-learn

Full Job Posting

What You Will Do

  • Initiative Leadership & Cross-Functional Ownership
  • Lead AI/ML initiatives end-to-end—scoping, designing, managing implementation, and driving outcomes—coordinating across Product, Engineering, CX, 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, from defining success metrics through post-deployment iteration.
  • Identify and scope net-new AI/ML opportunities that deliver impact for students, university partners, and Risepoint’s business, and advocate for prioritization with leadership.
  • Manage relationships with key vendors and software providers as a workstream leader, ensuring delivery commitments are met.
  • Model Development & Production Delivery
  • 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.
  • Prototype, test, and productionize models using MLOps frameworks (Databricks, MLFlow, dbt, Dagster), owning the full model lifecycle.
  • Partner with data engineers to ensure clean, reliable pipelines and feature stores that support model development and production deployment at scale.
  • Work with speech analytics and structured CRM/LMS data to derive behavioral insights across the student lifecycle.
  • Experimentation & Performance Accountability
  • Design and lead A/B testing programs to measure model-driven impact on retention, engagement, and satisfaction, owning the decision to ship, iterate, or stop.
  • Establish feedback loops and real-world performance monitoring frameworks that enable continuous model improvement.
  • Translate complex technical findings into clear, executive-ready narratives that drive cross-functional alignment and action.
  • Team Leadership & Standards
  • · Mentor teammates and raise the team’s technical bar through code reviews, pair work, and knowledge-sharing.
  • · Model ownership, adaptability, and initiative leadership in a fast-changing environment; set the standard for what it means to own a workstream end-to-end.
  • What Success Looks Like
  • Predictive models are deployed, monitored, and demonstrably improving student outcomes (e.g., reduced churn, higher engagement rates)—and you can point to specific initiative decisions you made that drove those results.
  • Cross-functional partners in Product, Engineering, and CX describe you as a leader who owns outcomes, not just analysis—who drives alignment, manages implementation, and delivers results.
  • Experiment programs are well-designed, velocity is high, and a clear percentage of tests yield statistically significant outcomes that inform production decisions.
  • The data foundation is materially stronger because of your workstream ownership: pipelines are cleaner, features are better documented, and the team ships faster.
  • You are actively raising the team’s technical standard and mentoring teammates toward greater ownership and impact.
  • Business outcomes tied to model-driven initiatives: retention rates, re-engagement rates, enrollment completion, and conversion lift.
  • Initiative delivery: on-time scoping, cross-functional execution, and outcome realization against defined success metrics.
  • Model performance metrics: accuracy, precision, recall, and AUC across deployed models; degradation alerts and retraining cadence.
  • Experiment velocity and signal rate: number of A/B tests shipped per quarter and percentage yielding statistically significant, actionable results.
  • Qualitative feedback from Product, Engineering, and CX partners on initiative ownership, communication quality, and cross-functional effectiveness.
  • What You’ll Bring to the Team
  • Experience That Matters Most
  • A proven track record of delivering measurable consumer and business impact through AI/ML initiatives—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, ideally in education, consumer tech, personalization, or a complex behavioral domain.
  • 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.
  • Comfort working with complex, multi-source datasets (CRM, LMS, communication logs, speech analytics).
  • Excellent communicator across technical and non-technical audiences, including executives; you make the science accessible without losing rigor.
  • Bachelor’s or Master’s degree in a technical discipline (computer science, statistics, econometrics, mathematics, or engineering).
  • Experience That’s Great to Have
  • PhD in a technical discipline (not required, but valued).
  • Experience in higher education, edtech, or student success platforms.
  • Prior work building or operationalizing next best action or propensity-to-engage models at scale.
  • Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

Qualifications

  • That Matters Most
  • A proven track record of delivering measurable consumer and business impact through AI/ML initiatives—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, ideally in education, consumer tech, personalization, or a complex behavioral domain.
  • 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.
  • Comfort working with complex, multi-source datasets (CRM, LMS, communication logs, speech analytics).
  • Excellent communicator across technical and non-technical audiences, including executives; you make the science accessible without losing rigor.
  • Bachelor’s or Master’s degree in a technical discipline (computer science, statistics, econometrics, mathematics, or engineering).
  • That’s Great to Have
  • PhD in a technical discipline (not required, but valued).
  • Experience in higher education, edtech, or student success platforms.
  • Prior work building or operationalizing next best action or propensity-to-engage models at scale.
  • Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Risepoint

Senior Learning Technologist (Fixed-Term Contract, Remote – Australia)

, AUS

Discovered 5 days agoFull-time

Senior Director, Partner Data

, USA

Discovered 1 weeks agoFull-time

Senior Off-Site AEO Strategy Manager

, USA

Discovered 2 weeks agoFull-time

Principal Data Scientist

, USA

Discovered 2 weeks agoFull-time

Senior Healthcare Employer Marketing Manager

, USA

Discovered 2 weeks agoFull-time

Senior Integrated Marketing Manager

, USA

Discovered 2 weeks agoFull-time

Marketing & Operations Analytics Manager

, USA

Discovered 2 weeks agoFull-time

Senior Marketing & Ops Strategy Analyst

, USA

Discovered 2 weeks agoFull-time