Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Data Science, Technical Lead OR

Your tasks and responsibilities

The primary responsibilities of this role, Data Science Technical Lead OR, are to:

  • People and technical leadership with focus on creating team environment for individuals to develop and succeed;
  • Lead innovation using latest advances in data science with primary focus on operations research and numerical optimization;
  • Development and deployment of new methodologies globally, to accelerate our pipeline and product development efforts;
  • Lead development and presentation of compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business;
  • Development and maintenance of new and existing data science applications primarily focused on prescriptive analytics;
  • Hiring, leading and mentoring a team of data scientists on a variety of projects, from conception to final deployment;
  • Develop strong and successful collaborations among various Bayer crop-science R&D teams.


Who you are


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:


  • Minimum of a Bachelors degree with 8+ yrs of experience or Masters degree with 6+ yrs of experience or PhD with 3+ yrs of professional and/or post doc experience in Industrial Engineering, Mathematics, Computer Science, or other quantitative disciplines;
  • Deep understanding of mathematical programming and optimization concepts (network design, stochastic programming, optimal scheduling and routing);
  • 5+ years experience in application of operations research techniques towards solving large scale real world problems; 
  • 5+ years experience with mathematical programming languages like AMPL, GAMS and OPL;
  • 2+ years experience with commercial optimization solvers such as GUROBI, IBM CPLEX, FICO Express etc;
  • 1+ year experience with machine learning algorithms (Deep Learning, Ensembles, Clustering, SVM) and commonly used data science languages such as Python and R;
  • Passion for solving complex analytics problems involving big data;
  • Creative, proactive, bold and out-of-box thinking;
  • Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner;
  • Strong organizational, interpersonal, and problem solving abilities required to negotiate scope/resources, manage, and project status, and synchronize activities with team members, stakeholders, and management;
  • Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility.


Your application

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", 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. 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.


Country: United States
Location: MO-Chesterfield
Functional Area: [sap_fa_8]
Entry Level: 5