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Data Scientist

Job in Lake Forest, Lake County, Illinois, 60045, USA
Listing for: Chicago Bears
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: DATA SCIENTIST
Overview

Data S cientist

Department:
Data Strategy & Analytics

Reports To:

Director of Advanced Analytics

Supervises People:
No

About The Role:

This position will improve the Chicago Bears use of data and models by driving fan engagement and personalization through the implementation of advanced AI/ML modeling to optimize revenue streams. This role will focus on developing predictive business analytics data products, emphasizing the creation and enhancement of statistical models that drive desired results.

Utilize statistics and machine learning techniques to make predictions and answer key business decisions. Deliver value by analyzing data and communicating the results and insights with key stakeholders to make decisions. Manage implementation of AI tools, within the realm of sales, operations and fan engagement data. This role works out the Chicago Bears headquarters in Lake Forest, IL and will require working all Bears home games.

Who We Are

As one of the founding franchises of the NFL, family is the core of who we are. We believe every person matters and we can collectively achieve success through our values of respect, championship mindset, community, and perseverance. We’re different from other companies, as our vision is to be “one of one”. We strive to be a championship football organization that consistently performs at a level of excellence on and off the field Our people represent a vast array of cultural backgrounds, human experiences and perspectives and we believe they, collectively and as authentic individuals, are our greatest resource.

Our working environment is one where your talent and contributions are valued by the organization and the community.

Responsibilities
  • Develop predictive models and simulations to analyze complex, large-scale datasets and uncover insights to improve customer experience, revenue generation, cost efficiency, capital investment effectiveness, and automation utilization.
  • Create compelling data visualizations that communicate end-to-end system performance and identify optimization opportunities.
  • Establish robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.
  • Collaborate cross-functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data-driven projects, and deliver impactful results.
  • Work with data engineering team to fill gaps from a data collection standpoint to enhance predictive and prescriptive analytics.
  • Assist in building custom AI solutions to optimize revenue generation and streamline sales efforts.
Qualifications
  • Masters’ degree required in statistics, computer science, econometrics, mathematics, or other statistical discipline.
  • 4-5 years’ experience with data exploration, handling large data sets, and building advanced statistical models.
  • Highly skilled in developing, deploying, and maintaining predictive and advanced analytic models (supervised and unsupervised) using R/Python, with strong abilities in tracking and optimizing model performance.
  • Expert in SQL (AWS / Snowflake) and data exploration, capable of independently analyzing databases and metadata to understand available data.
  • Adept at translating complex data problems into actionable business insights for stakeholders, and experienced in creating professional, real-time dashboards using Tableau and programming languages like R/Python.
  • Must be able to effectively communicate through data using clear and concise summaries and reports.
  • Detail-oriented and curious thinker who can manage multiple projects at once.
  • Able to work non-traditional hours, in non-traditional settings, including weekends, evenings, and holidays.
What We Offer

We remain committed to upholding the standard of being a first-class organization and employer of choice. Our goal is to provide quality support and a diverse, equitable, and inclusive environment for our most important resource, our people.

COMPETITIVE INDUSTRY PAY

The Data Scientist is a full-time non-contract position. This position is a SALARY (exempt) role.

The expected salary range for this role is $100,000- $120,000/per year.…

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