Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Risepoint

Principal Data Scientist

Risepoint

Principal Data Scientist at Risepoint, leading AI/ML initiatives to improve student engagement. Overseeing end-to-end project management and collaboration across teams to drive educational outcomes.

Posted 7/16/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI/ML initiatives, delivering measurable business outcomes, and architecting scalable data pipelines. Proficient in predictive analytics and mentoring teams in data science and engineering.

Highest-signal resume keywords
Applied Machine LearningPredictive AnalyticsPython ProgrammingData EngineeringA/B Testing

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningPredictive ModelingCausal InferenceUplift ModelingSQL
Soft Skills
Team LeadershipDecision-MakingMentoring
Tools & Technologies
Scikit-LearnXGBoostTensorFlowPyTorchDatabricks
Industry Keywords
Data ScienceData PipelinesFeature StoresExperimentationData Models

Tech Stack

Tools & technologies
PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Lead AI/ML initiatives end-to-end
  • Own accountability for delivering measurable business outcomes
  • Drive alignment and decision-making across teams
  • Build and deploy predictive models
  • Architect scalable, reliable data pipelines
  • Design and lead A/B testing programs
  • Mentor data scientists and engineers

Requirements

What you’ll need
  • 8+ years in applied machine learning or data science
  • 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
  • Principal-level data engineering experience: architecting and operating production data pipelines, data models, and feature stores at scale
  • Bachelor’s or Master’s degree in a technical discipline (computer science, statistics, econometrics, mathematics, or engineering)

Benefits

Comp & perks
  • Health insurance
  • Professional development