Associate Permance Data Scientist

*Description

Are you mission-driven and passionate about helping others succeed?

Do you strive to lead, follow, and act with integrity?

Are you the one who honors your commitments?

Is building trusting relationships an integral part of why you do what you do?

Do you push limits and challenge the status quo?**

If you answered YES, keep reading to discover how you can significantly contribute to Team USA's success!

Here's a summary of responsibilities:

Under the direction and supervision of the Associate Director, Performance Data Science, the Associate Performance Data Scientist creates strategies to ensure data cleanliness and completeness and surfaces data for Performance Analytics applications. Applies advanced data integration techniques to ensure the efficient flow of data and maintain quality. Develops tools to optimize the collection and statistical analysis of performance data. Designs and deploys new data solutions and monitors and enhances existing ones.

The Associate Performance Data Scientist will play a key role in expanding Performance Analytics tools to Paralympic Sport and High Performance Pathways, evolving data solutions to deliver valuable performance insights to all stakeholders. The ideal candidate will be an innovative thinker and quick learner who values efficient, high-quality work and effectively implements technical solutions accurately and at scale. We are looking for a detail-oriented, trusted problem solver with a passion for the Olympic and Paralympic Movements.

Here’s how you’ll have an impact:

Performance Data Science Support

• Support work of Performance Analytics team and other stakeholders by translating data requirements into scalable technical solutions
• Develop novel Paralympic performance insights and predictive models, expanding the USOPC’s International Competitive Analysis program to Paralympic sport
• Implement best practices in documentation and version control to manage Performance Analytics code base and ensure consistent, repeatable solutions
• Stay apprised of emerging technologies and industry trends in data engineering and sports analytics
• Assist with development and validation of new algorithms, analysis tools, and predictive models as needed

Database Integration & Management

• Architect data pipelines and processes to seamlessly integrate new data sources and systems into existing USOPC systems and database structures with an emphasis on Performance Pathways and Paralympic Sport data
• Bring a deep understanding of reporting and modeling needs to all data integration efforts to drive data insights
• Assist Performance Data Analysts with integrating relevant athlete health, wellness, and performance data and analysis tools into the USOPC’s AMS platform
• Identify and acquire new data sets to fill gaps in Performance Analytics coverage, automating data collection where possible via web scraping, APIs, and PDF extraction
• Assist the USOPC IT team in developing and implementing data models and database structures to ensure efficient storage and retrieval of Performance Analytics information

Data Quality

• Design and publish trusted and verified data sources to enable analysis at scale
• Monitor and optimize existing data feeds (internal and third party) for completeness, performance, and scalability
• Perform data cleaning, validation, and feature engineering to ensure data integrity and efficient analysis
• Create strategies to audit for data-related issues and implement solutions in a timely manner
• In collaboration with IT, deploy models and manage development and production environments

Here are the skills and experience you'll need to be effective:

• B.S. or equivalent in Computer Science, Data Science, Statistics, Analytics, Engineering or related field required
• M.S. preferred
• 1-3 years of experience delivering data engineering solutions in high-performance environments (internships or applicable college/university level classes may be combined for this requirement)
• Advanced knowledge of data integration techniques, ETL processes, and data pipeline and database (SQL, Snowflake) architecture
• Successful implementations of web scraping techniques and extracting data from APIs and PDFs
• Application of clean and tidy data best practices
• Excellent programming skills in R, Python, and/or SQL
• Machine learning, feature engineering, and parallel computing
• Cloud data infrastructure environments (Azure, Snowflake, AWS)
• Automation and continuous improvement of data collection and analysis tools
• Strong communication and problem-solving abilities, including simplifying complex tasks and devising actionable strategies
• Accountable for detail-oriented, accurate, high-quality work
• Quick and adaptable learner, applying new skills and technology on a project-by-project basis
• Ability to follow HIPAA and USOPC data privacy policies
• Passion for Team USA and the ideals of the Olympic & Paralympic Movements