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Job Details

Job Title:

Data Science Co-Op


Chesterfield, MO, Midwest United States, USA



Industry Sector:


Industry Type:

Chemical, Pesticide and Fertilizer

Career Type:

Job Type:

Full Time

Minimum Years Experience Required:




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Data Science Co-Op

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The primary responsibilities of this role, Data Science Co-Op, are to: 


  • Perform research to advance the science and technology of data science;
  • Familiarize large scale data query tools, and cloud computing infrastructures;
  • Build, test and validate prescriptive/predictive models through iterative process;
  • Evaluate the model performance with solid metrics;
  • Write detailed documentation;
  • Understand the key domain breeding process;
  • Present project results to leadership team and partners;
  • Work closely with data scientist in Breeding Analytics team, other stakeholders, and breeders in any/all regions.




Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:


Required Qualifications:


  • Currently in the process of obtaining, a degree such as Ph.D., Masters, or Bachelors with relevant research experience in Computer Science; Operations Research, Statistics, Mathematics or related field;
  • Must obtain work authorization at the time of hire and maintain ongoing work authorization during employment.


Preferred Qualifications:

  • Experience in machine learning, artificial intelligence (AI), computer vision, optimization, computer science, statistics, applied mathematics, or data science;
  • Experience solving analytical problems using quantitative approaches;
  • Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources;
  • Experience in utilizing theoretical and empirical research to solve problems;
  • Understanding of statistics and experience applying statistical concepts to real-world data;
  • Ability to communicate complex research in a clear, precise, and actionable manner;
  • Fluent in Python and/or R programming language;
  • Experience building systems based on machine learning and/or deep learning methods;
  • Strong analytical and quantitative problem-solving ability.



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.  

If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice.  
IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer employees are also required to comply with state, local and customer requirements.  
Division: Crop Science   Reference Code 689644  
Functional Area: [[filter6]]   Location: Chesterfield
Employment Type: [[filter7]]  Position Grade: [[cust_subgrade]]  
Contact Us
Address Telephone E-Mail
Creve Coeur, MO +1 888-473-1001, option #5

To apply please click on APPLY TO THIS POSITION
Job Post Date: 08/03/22
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