Principal Data Scientist

🕒 July 16

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 13%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• 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

• 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

• Health insurance • Professional development