AI Workflow Scientist (Baseball Operations - R&D)
Chicago Cubs•Chicago, IL
•$100,000 - $160,000•Onsite
About The Position
The Chicago Cubs are seeking an AI Workflow Scientist to design, develop, and scale AI-integrated data science workflows across Baseball Operations. This role focuses on embedding AI directly into Baseball Operations’ processes, decision pipelines, and day-to-day workflows. This position emphasizes building intuitive, high-impact workflows that connect people, data, models, and decision-making. The ideal candidate combines strong data science instincts with a product-oriented mindset, enabling Baseball Operations to leverage AI effectively in applied baseball contexts.
Requirements
- Experience building internal tools, workflow systems, or AI-enabled applications
- Strong engineering ability in addition to data fluency
- Experience with APIs, system integrations, and productionizing applied AI workflows
- Comfort translating ambiguous operational needs into usable technical solutions
- Ability to work cross-functionally and drive adoption, not just build prototypes
Nice To Haves
- 5+ years in data science, analytics, engineering, or applied AI roles
- Experience building reusable AI platforms, workflow tooling, or knowledge systems
- Experience driving adoption of internal tools across non-technical and technical users
- Strong product and architecture instincts
- Ability to move from prototype to scalable internal capability
- Baseball familiarity as context, but not the main qualification
Responsibilities
- Identify high-value opportunities where AI can improve internal workflows, staff productivity, speed, and decision quality across Baseball Operations
- Design and build practical AI-enabled tools, automations, and workflow systems that support day-to-day operational work
- Turn promising ideas and one-off experiments into scalable, reusable capabilities that can be deployed across teams
- Build and maintain the integrations, context pipelines, retrieval systems, and workflow architecture needed for AI tools to be useful in real work
- Connect AI capabilities to internal tools, data, documentation, and decision processes in secure, reliable, and permission-aware ways
- Create agentic workflows that tie together other tools such as GitHub, Python, SQL, etc.
- Establish practical standards, best practices, and reusable patterns that make AI solutions easier to trust, maintain, and scale
- Work closely with R&D and other stakeholders to translate operational needs, hypotheses, research, discoveries, analytical outputs, and insights into accessible knowledge tools
- Help staff adopt AI effectively by shaping use cases, refining workflows, and improving usability based on feedback and observed friction points
- Continuously evaluate where AI is creating value, where it is falling short, and where new workflow investments can have the greatest impact
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
