Data Scientist, Innovation - Baseball Analytics

Chicago CubsChicago, IL
$80,000 - $150,000Onsite

About The Position

The Chicago Cubs are seeking a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights. This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.

Requirements

  • Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of statistical modeling and data science workflows
  • Experience working with complex and high-dimensional datasets
  • Proficiency in Python, SQL, and version control

Nice To Haves

  • 5+ years in machine learning, data science, or applied research
  • Experience with multimodal data (video, tracking, sensor data)
  • Background in sports analytics, preferably baseball
  • Experience with simulation or probabilistic modeling frameworks

Responsibilities

  • Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
  • Design and implement time-series, probabilistic, and simulation-based models
  • Apply modern deep learning techniques (e.g., attention models, multimodal learning)
  • Explore and apply generative modeling approaches beyond LLMs
  • Conduct research into new modeling techniques and analytical frameworks
  • Prototype and experiment with novel approaches to improve predictive performance
  • Translate complex datasets (tracking, video, sensor data) into structured insights
  • Stay current with advancements in AI, machine learning, and sports analytics
  • Serve as a subject matter expert on modeling approaches and statistical methods
  • Partner with stakeholders to identify high-impact analytical opportunities

Benefits

  • On-site parking
  • Transit benefits
  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
  • Flexible work arrangement
  • Casual work attire environment
  • Complimentary Meal & beverage plan
  • Cubs home game & spring training game ticket allotment
  • Access to campus wide Wrigley Field events & pre-sales
  • 401K Plan Employee Contribution & Employer Match
  • Benefit Plans: Medical, Dental, Vision & Life Insurance
  • Health & Wellness engagement & programming
  • Variety of associate special events, volunteer opportunities and partnership discounts
  • Tuition Reimbursement
  • Free access to EV charging stations
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