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# Data Scientist - Emerging Leaders in Science Program - #01V38

- **Company:** Monsanto
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Big Data, Bioinformatics, Computational Biology, Computer Programming, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Programming, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.agcareers.com/bayer/data-scientist--emerging-leaders-in-science-program--01v38-job-702912.cfm

## About the Role

Bayer is looking for the next generation of leaders in the field of Data Science. We are seeking a highly motivated individual to join the cutting edge Emerging Leaders in Science Program (ELS). The successful candidate will have a demonstrated track record of competitive accomplishments. As part of the ELS program, you will be expected to foster and advance cross technology efforts to meet scientific challenges that address Bayer's commitment to global agriculture. The position is for an integral member of a multidisciplinary, results-driven, customer focused growing automation team. The position represents a full-time, career opportunity in an exciting, dynamic environment serving a broad range of research and development needs of a Life Sciences Company. The person filling this position must have highly effective verbal and written communication skills, the ability to work collaboratively with diverse stakeholders, the agility to respond rapidly to challenges as they arise
and possess clear potential for rapid growth and learning., * Bachelors in Statistics, Computational Biology, Mathematics, Computer Science, Engineering, Statistical Genetics, Bioinformatics, Operations Research or other quantitative discipline plus four or more years of experience required; Candidates with a Masterâ??s degree plus 2 or more years of related experience or PhD (or PhD completion within the next 6 months) is preferred.

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Three or more years of experience with one or more statistical and mathematical programming packages (R, Matlab, Python or equivalent) ;

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Demonstrated track record of solving challenging and complex analytical problems involving big data sets; and experience applying advance analytics in the environmental sciences domains, for example: genomic, metagenomic, geospatial, or other types of complex heterogeneous data

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Prior experience demonstrating exceptional written communication and oral presentation skills

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Demonstrated ability to build relationships, collaborate and influence colleagues across diverse multi-disciplinary teams ;

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Proven experience strategically planning, coordinating, executing and driving multiple projects from conception to completion ;

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Experience working with strict deadlines in a highly demanding and dynamic environment ;

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Demonstrated success in leadership of people or projects

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Demonstrated success in results orientation, customer focus, team orientation, and influencing across a diverse organization ;

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Ability to simplify complex ideas and document in clear and succinct detail ;

 * Strong learning aptitude, critical thinking and agility ;

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Demonstrated success innovating

Desired Education and Skills:

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Demonstrated success integrating multiple disciplines including but not limited to statistics, biology, environmental sciences and genomics

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Strong publication record in leading scientific journals highly preferred ;

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Proficiency in machine learning, simulation, or statistical modeling algorithms and concepts ;

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Experience building a successful research team, including obtaining resources, setting direction, and mentoring others ;

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Demonstrated expertise with computer programming ;

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Proven record of delivering impactful results in an entrepreneurial setting ;

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Demonstrated creativity in defining challenging exploratory projects and developing solutions ;

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Experience with agronomic related data is a plus

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Ability and desire to work in a heavily matrixed, team-based environment ;

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Experience building consensus and leading teams through influence

## Description

Bayerâ??s Emerging Leaders in Science (ELS) scientific leadership recruitment and career development program is seeking top scientific talent to join our Research & Development (R&D) Organization. If you are successful in being selected into this program, you will be immersed in a comprehensive, cross-functional rotational experience within a company that is a globally recognized innovation leader in plant breeding, biotechnology, crop protection, biologicals and precision agriculture. As a participant in this program, you will be quickly involved in multiple areas across Bayer's R&D Organization, and you will work with, and be mentored by Bayer's most talented scientific leaders. You will emerge prepared to lead efforts focused on agricultural innovation.