AI Workflow Scientist (Baseball Operations - R&D)

Job Title AI Workflow Scientist Overview The Chicago Cubs are seeking an AI Workflow Scientist to design, develop, and scale AI-integrated data science workflows across Baseball Operations. 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. Partner across Baseball Operations to drive use and impact, work closely with R&D and other stakeholders to translate operational needs into accessible knowledge tools. Help staff adopt AI effectively by shaping use cases, refining workflows, and improving usability based on feedback. Continuously evaluate where AI is creating value, where it is falling short, and where new workflow investments can have the greatest impact. Qualifications 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. 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. 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 The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique. The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics. #J-18808-Ljbffr Chicago Cubs