What are the responsibilities and job description for the Data Science Intern position at Kansas City Chiefs and Careers?
Position Profile: Data Science Intern
Department: Finance, Strategy & Analytics
Reports to: Senior Data Scientist
Status: Intern, Hourly
JOB SUMMARY:
The Data Science Intern will play a key role in supporting the Kansas City Chiefs’ Finance, Strategy & Analytics team. You will help enhance our data infrastructure by assisting with potential migration efforts to a modern data platform, supporting updates to connected Plotly Dash applications, and validating data pipelines as needed. You will also contribute to real-time insights, data visualization, and advanced analytics that help transform data into meaningful, actionable decisions across the organization.
JOB RESPONSIBILITIES:
Required Qualifications
Department: Finance, Strategy & Analytics
Reports to: Senior Data Scientist
Status: Intern, Hourly
JOB SUMMARY:
The Data Science Intern will play a key role in supporting the Kansas City Chiefs’ Finance, Strategy & Analytics team. You will help enhance our data infrastructure by assisting with potential migration efforts to a modern data platform, supporting updates to connected Plotly Dash applications, and validating data pipelines as needed. You will also contribute to real-time insights, data visualization, and advanced analytics that help transform data into meaningful, actionable decisions across the organization.
JOB RESPONSIBILITIES:
- Support the team in evaluating and potentially transitioning data workflows from PostgreSQL to a modern data platform.
- Assist in restructuring, optimizing, and validating datasets and queries across evolving data environments.
- Help update and maintain Plotly Dash applications, ensuring stable data connections during platform transitions.
- Maintain and enhance reports, dashboards, and analytical tools used by executives and department leaders.
- Develop or improve internal applications that support real-time, data-driven decision making.
- Assist with analytical projects such as retention modeling, customer segmentation, dynamic pricing, and financial forecasting.
- Document data processes, sources, and architectural changes as infrastructure evolves.
- Work with internal teams and vendors to ensure data accuracy, timeliness, and reliability.
- Support ad-hoc analysis requests and identify opportunities for new projects or process improvements.
Required Qualifications
- Proficiency in Python and familiarity with commonly used analytics and data engineering libraries.
- Strong SQL skills and understanding of relational database concepts.
- Familiarity with PySpark or an interest in learning distributed computing frameworks.
- Interest in modern data platforms, cloud technologies, or large-scale data processing environments.
- Ability to troubleshoot API integrations and application data connections.
- Ability to combine data from multiple sources and validate data accuracy.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with teammates and stakeholders across the organization.
- Ability to work flexible hours, including evenings, weekends, and holidays as needed.
- Familiarity with Microsoft Office tools (Excel, PowerPoint, Dynamics CRM).
- 0 - 1 year of experience in related analytics, engineering, or technical role.
- Experience with Plotly Dash (enterprise or open source) or other application frameworks.
- Experience with PySpark, Spark SQL, or cloud-based data processing tools such as Databricks, Snowflake, or similar platforms.
- Experience with HTML/CSS and JavaScript.
- Pursuing or holding a degree in Mathematics, Statistics, Computer Science, Engineering, or a related field.
- Experience with Tableau or Power BI.
- Experience with Git or other version control systems.