About Simatree

Simatree is a data-driven consulting firm that blends strategic insight with deep technical capabilities. We help clients unlock the power of data for transformation and growth. We are looking for a Data Science intern to ideally work for the fall 2025 and spring 2026 semesters to support an innovative project focused on building a Sports Data Ecosystem. This paid internship.

Project Overview

We aim to unify disconnected data sources (e.g., stats, wearables, recruiting, NIL, social media) into a scalable data model that supports real-world use cases such as:

· Talent evaluation

· Injury risk forecasting

· NIL (Name, Image & Likeness) strategy

· Sponsorship targeting

· Sports betting analytics

You will work with a cross-functional team to help structure, clean, merge, and analyze these data sources.

Key Responsibilities

Identify, access, and assess relevant sports data sources for consistency, quality, and value.
Normalize and integrate data into a unified schema for longitudinal athlete tracking.
Build Python-based pipelines for data ingestion, cleaning, transformation, and validation.
Support the development of predictive models (e.g., talent forecasting, NIL potential).
Document data architecture, assumptions, and transformation steps.
Collaborate to ensure privacy and governance compliance, especially for youth data.
Assist in testing real-world use cases and delivering insights to stakeholders.

Required Qualifications

Currently enrolled in an accredited university in the state of Virginia. Please do not apply if you do not meet this requirement.
Pursuing a degree in Data Science, Statistics, Computer Science, or related field.
Strong proficiency in Python (especially Pandas, NumPy, scikit-learn, and APIs).
Experience with data wrangling and exploratory data analysis (EDA).
Familiarity with youth sports data or interest in sports analytics a plus.
Experience with databases (SQL or NoSQL), data privacy best practices, or cloud tools (e.g., Databricks, AWS, Azure) is a bonus.
Excellent documentation, teamwork, and communication skills.

What You’ll Gain

· Experience working on a cutting-edge, mission-driven project in sports data analytics.

· Exposure to data strategy, governance, and real-world use case development.

· Collaboration with mentors across analytics, consulting, and the sports ecosystem.

· Opportunities to contribute to presentations, stakeholder demos, and potential pilot rollouts

Paid Internship: $24/hour

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