Principal Data Scientist

Talantir; USA; Remote; USD 165.000 - 175.000; Vollzeit

Benefits dieser Stelle

Remote-first flexibility

Competitive compensation

Mentorship & growth opportunities

Impactful work

Zusammenfassung

Capture Higher Ed is seeking a Data Scientist to design, develop, and deliver predictive models and AI-driven features that improve enrollment outcomes for colleges and universities. You will collaborate with Product, Engineering, and Client Success to apply ML, LLMs, and advanced analytics across higher education challenges.

You will work on AI integration, data engineering support, and KPI validation, reporting to the Director of Data Science.

Qualifikationen

• 2–5 years of experience in data science or ML roles.
• Proficiency in Python and common data science libraries (pandas, scikit-learn, NumPy).
• 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.

Aufgaben

• Develop and maintain predictive models (application/enrollment likelihood, segmentation, clustering).
• Apply supervised and unsupervised learning techniques to partner data.
• Implement attribution models and benchmarks to evaluate campaigns and financial aid effectiveness.
• Build and fine-tune LLM-based solutions and prompt templates for scalable features.

Kenntnisse

Python

SQL

Pandas

NumPy

scikit-learn

Ausbildung

Bachelor’s or Master’s in quantitative field

Tools

AWS ML tools

Jobbeschreibung

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