Bayer

Data Science Capability Hub Lead (Creve Coeur, Missouri, US)

Creve Coeur, United States Type not listed
Biostatistics & Data Science

Bayer is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

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.

Authentic and self-aware leader with strong curiosity, a commitment to continuous learning, and an openness to diverse perspectives that strengthen culture, innovation, and impact.

Employees can expect to be paid a salary of approximately $177k-256k. Additional compensation may include a bonus or incentive program (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 8/22/26.

YOUR APPLICATION       Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.       Bayer is an E-Verify Employer.               Location: United States : Missouri : Creve Coeur      Division: Crop Science     Reference Code: 872340          Contact Us     Email: hrop_usa@bayer.com  ]]>

Job details

Seniority
Not listed
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Creve Coeur, United States
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.

137Comparable roles tracked
118Currently active
22Companies hiring similar roles
17Countries represented

Salary context

46 of 137 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Sr. Computational Statistician (R2 – R3) · Lilly $46,842/yr – $117,289/yr
Peer group range $82,066 – $329,250 (median $173,275)

Where these roles are based

Top locations among the 137 comparable roles

United States77
United Kingdom11
India10
Japan7
Germany7
Poland5

+ 11 more countries

Seniority mix

105 of 137 peers have a known seniority level

Senior27
Principal25
Manager24
Director11
Associate Director11
Intern/Fellow/Postdoc3
Associate2
Executive/VP1
Senior Director1

Therapeutic area mix

14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology14

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

40%similar
Lilly Director
Same function Same country

Open in 2 locations

Indianapolis, United StatesBoston, United States
40%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Principal
Same function Same country

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

40%
Director - Statistics
Lilly · Indianapolis, Indiana, United States of America · Director
Function Therapeutic area Seniority Country
40%
Computational Statistician (R2-R4)
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Pre-Clinical Statistician
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Sr. Advisor - Statistics
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.