Principal Data Scientist

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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

Stakeholder Collaboration

• Partner with internal teams to understand data needs and ensure solutions are aligned to institutional goals
• Present findings and model logic to both technical and non-technical stakeholders
• Support the Client Success and Marketing teams with data-backed recommendations and optimization insights

Qualifications

Required:

• 2–5 years of experience in data science or machine learning roles
• Proficiency in Python and common data science libraries (pandas, scikit-learn, NumPy, etc.)
• Strong knowledge of SQL for data querying and manipulation
• Experience with ML modeling techniques (classification, regression, clustering, time-series)
• Familiarity with LLMs and prompt engineering concepts
• Ability to communicate technical concepts clearly to non-technical audiences
• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Data Science, Applied Math)

Preferred:

• Experience in higher education, edtech, or marketing analytics
• Exposure to AWS-based ML tools and environments
• Experience with model performance tuning and A/B testing frameworks
• Background in developing AI-enhanced features or personalization systems
• Familiarity with tools for experiment tracking and model management

Why Capture?

You’ll be part of a fast-growing, mission-driven company that blends cutting-edge AI with a deep understanding of higher education. You’ll be empowered to do meaningful work, surrounded by a collaborative team of data scientists, engineers, and product innovators.

We offer:
- Competitive compensation and benefits
- Remote-first flexibility
- Strong mentorship and growth opportunities
- A culture that values experimentation, curiosity, and impact

About Capture Higher Ed

Capture Higher Ed is a leading enrollment management and marketing technology firm helping higher education institutions make personalized, data-driven, timely, and measured connections with prospective students. Powered by our Behavioral Intelligence Platform — combining marketing automation, predictive modeling, and expert services — we help colleges and universities identify, convert, and enroll the right students.

Job Type: Full-time

Pay: $165,000.00 - $175,000.00 per year

Work Location: Remote