Data Science Capability Hub Lead
Job in
Creve Coeur, St. Louis County, Missouri, USA
Listed on 2026-08-16
Listing for:
Missouri Ag Connection
Full Time
position Listed on 2026-08-16
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Data Analyst, Data Scientist
Job Description & How to Apply Below
Job Title:
Data Science Capability Hub Lead ####
Location:
Creve Coeur, MO, Midwest United States,USA #### Company:
Bayer #### Industry Sector:
Agribusiness ####
Industry Type:
Chemical, Pesticide and Fertilizer #### Career Type: #### Job Type:Full Time #### Minimum Years Experience
Required:
N/A #### Salary:
Competitive ### Get Job Alerts
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** At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us.
If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
**** Data Science Capability Hub Lead
** As a Data Science Capability Hub Lead for Bayer Digital Farming, you will be a senior leader who will set the vision for a central data science organization, build a high-performing team of technical professionals, and coach individuals to grow, lead, and thrive. You will align talent, capabilities, and collaboration practices to advance digital products, analytics, and AI-powered solutions that create customer and business value, while driving continuous improvement through sound judgment, thought leadership, self-awareness, collaboration, and feedback.
** YOUR TASKS AND RESPONSIBILITIES
** The primary responsibilities of this role are to:
* Lead and build a high-performing team of approximately 30-50 data scientists who work across global business units, creating a supportive structure for career growth, collaboration, and delivery.
* Co-create the vision for the data science organization and evolve its technical strategy to meet business priorities and future opportunities.
* Partner across research, digital product, and crop science business teams to align capabilities, strengthen collaboration, and lead change across the organization, especially in building products and workflows designed to use AI from the start and in delivering AI-powered insights and recommendations for customers.
* Build the capabilities, talent strategies, and career development opportunities needed for the future while coaching individuals to grow, lead, and expand their impact.
* Align resources, budgets, and delivery plans to advance Digital Farming Solutions priorities with focus, discipline, and effective planning, prioritization, and execution.
* Bring in external perspective on emerging trends, technologies, and practices to accelerate innovation and keep the team current with emerging data science and AI practices.
* Create the conditions for people and teams to thrive through clarity, accountability, coaching, and a culture of high performance.
** WHO YOU ARE
** Bayer seeks an incumbent who possesses the following:
Required:
* Master's degree or Ph.D. in Computer Science, Statistics, Applied Mathematics, Agronomy, Life Science, Physical Science, or a related field, with a strong track record in quantitative research, predictive modeling and artificial intelligence.
* 10+ years of technical leadership experience, including building, leading, and developing data science teams.
* Proven ability to drive meaningful business impact through analytics, modeling, and data-informed decision-making.
* Strong business acumen and experience partnering across technical and commercial teams to integrate digital products into business models.
* Exceptional thought leadership and sound judgment, with the ability to shape technical strategy and deliver meaningful business impact.
* Ability to align technical and business strategy, make progress when priorities or information are uncertain, and lead change across teams and organizational boundaries.
*…
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