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Staff Data Scientist

Bayer

Office

Residence Based, Residence Based, US

Full Time

 

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.

 

Staff Data Scientist 

 

Statistical Scientist-Staff Data Scientist  

 

YOUR TASKS AND RESPONSIBILITIES  

 

The primary responsibilities of this role, Statistical Scientist, are to:  

  • As part of the Smart Operations Data Science team, this role will help shape the digital strategy for Bayer trial analytics new innovation model;
  • Support product development through hypothesis generation, experimental design and statistical analysis & modeling for lab, controlled environment and field-based experiments for all business units teams in St Louis, Monheim and across the globe;
  • Partnering with colleagues & data science teams across Bayer Crop Science is critical for success; 
    Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;
  •  Independently perform statistical analysis, computer programming, predictive modeling and experimental design;
  • Use advanced statistical techniques and tools, and strong business acumen to deliver insight, recommendations, and solutions;
  • Build cross-functional relationships to collaboratively partner with the business and effectively network within the Statistics Community;
  • Identify limitations and improves upon existing methodologies and find novel applications of existing methodologies, and use a consultative approach while recognizing own technical limitations; 
    Clearly explain technical and non-technical aspects of their work with other statisticians and stakeholders, both orally and in writing;
  • Actively listen and recognize when the expertise of others should inform decisions;
  • Partner effectively with subject-matter experts to deliver relevant solutions to well-scoped problems; 
    Brings critical eye to own work;
  • Ask good clarifying questions and quickly moves ahead;
  • Adapt to changing priorities by switching between analysis projects;
  • Approach adoption of new statistical methods with an open mind;
  • Effectively sense and attend to changing needs of the consumer of the analyses while maintaining scientific integrity;
  • Understand and can explain principles of statistics and machine learning, and can use modern software languages to apply their knowledge to provide solutions;
  • Understand questions being asked in the given domain and applies integrated consultancy skillset to collaborate with subject matter experts and key stakeholders;
  • Understand design principles and uses that understanding to clarify discussion and efforts around the proper uses, analyses, and interpretations of data, especially data from designed experiments;
  • Understand complex statistical analysis methodologies and can implement such methodologies to solve complex problems;
  • Use basic principles of experimental design and samples size to ensure correctness of trial design during discussions on trial planning with the stakeholders;
  • Ensure correct statistical programming and analysis consistent with the experimental objectives and decision playbooks;
  • Understand policies on data science best practices and ensure adherence to those best practices by associate statistical scientists;
  • Present analysis results to business leaders and stakeholders ensuring accurate interpretation of the data and the analysis results.  

 

WHO YOU ARE  

 

Bayer seeks an incumbent who possesses the following:  

 

Required Qualifications:  

  • Bachelor’s degree with experience;
  • Expert knowledge of theoretical and applied statistics including but not limited to methods in experimental designs, linear mixed models, generalized linear mixed models and Bayesian methods;
  • Demonstrated computational skills and expert level programming using R;
  • Python coding also a plus;
  • Knowledge of ASREML for R or BLUPf90;
  • Working and theoretical knowledge of the underlying mathematics of the linear model and linear mixed models;
  • Effective communication and collaboration skills including statistical consulting skills, interpersonal skills to contribute effectively in cross-functional team settings;
  • Strong results orientation and demonstrates interest and ability to learn new things, takes initiatives, welcomes problems as challenges, finds solutions to technical problems;
  • Functions with little to no supervision.  

Preferred Qualifications:

  • Bachelor’s degree with at least five years of experience or Master’s degree with at least two years of experience or Ph.D.

 

Employees can expect to be paid a salary of between $119,073-178,610 Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.  This 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 9/13/2025

    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 Science for a better life, 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. 

      Bayer is an E-Verify Employer.             Location: United States : Residence Based : Residence Based      Division: Enabling Functions     Reference Code: 852262          Contact Us     Email: hrop_usa@bayer.com 

Staff Data Scientist

Office

Residence Based, Residence Based, US

Full Time

September 12, 2025

company logo

Bayer

Bayer.com

Bayer