Job Title: Data Scientist

Company Name: Capture Higher Ed

Job Url: https://www.indeed.com/viewjob?jk=6b1bcfa9fc26a265&jr_id=69b998a556973837413f11bf

Job Description: Full job description
Position Overview

Capture Higher Ed is seeking a skilled and motivated Data Scientist to join our growing Data Science team. In this role, you’ll contribute to the design, development, and delivery of predictive models, behavioral analytics, and AI-driven features that directly impact enrollment outcomes for colleges and universities.

You’ll work closely with cross-functional teams—including Product, Engineering, and Client Success—to apply advanced analytics, machine learning, and large language models (LLMs) to real-world challenges in higher education. This is a high-impact role with strong mentorship and leadership support, reporting directly to the Director of Data Science.

Key Responsibilities

Predictive Modeling & Machine Learning

Develop and maintain predictive models (e.g., application and enrollment likelihood, segmentation, clustering)
Apply supervised and unsupervised learning techniques to partner data
Implement and test attribution models and benchmarks to evaluate campaign and financial aid effectiveness
Build and fine-tune LLM-based solutions and prompt templates for scalable product features
Analytics & Insight Generation

Analyze performance data across Capture’s platforms to generate insights and actionable recommendations
Assist in experimentation, A/B testing, and impact evaluation of predictive services and interventions
Help define and validate KPIs for model performance and business success
AI Integration & Innovation

Contribute to the development of AI-driven product features alongside engineering and product teams
Stay up to date on advancements in data science, AI, and higher education to support innovation
Collaborate on tools that improve model explainability, reproducibility, and performance monitoring
Data Engineering & Management Support

Collaborate with data engineers to ensure data pipelines support modeling needs
Assist in creating clean, documented, and reproducible workflows for training and deploying models
Conduct exploratory data analysis (EDA) and feature engineering to optimize model accuracy