Data Science Co-Op
BayerAbout the role
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 Co-Op
Bayer Crop Science is passionate about using Data Science and Information Technology to improve agriculture. Data Science is critical to the success of Bayer Crop Science today and in the future as we transform into an Information Services company. We are seeking a Data Scientist to join our IT Decision Science team as anintern/coop in the area of genome analytics. The IT Decision Science team looks to find creative and innovative solutions to enable success within our R&D, supply chain and commercial organizations while identifying and capitalizing on new opportunities to maintain and grow our position as a digital agriculture market leader. The ability to examine and optimize our current methods coupled with an eye on the future lends itself to a unique opportunity within Bayer Crop Science and our team. This is an exciting opportunity for a talented and passionate individual to join a multidisciplinary team of data scientists and engineers who work on real world problems.
As Data Scientist Co-Op you will:
- Develop strategies to identify new opportunities and expand existing methods, provide insights and build practical solutions to complex business problems;
- Apply advanced analytics skills to turn data into competitive advantage and make recommendations for data-driven business decisions
Required Qualifications:
- Pursuing a B.S. or M.S. or Ph.D. in Operations Research, Engineering, Management Science, Mathematics, or another related quantitative discipline;
- Experience delivering analytics solutions to complex business problems;
- Theoretical and practical experience in deterministic optimization and algorithm development related to operations management is a requirement, including experience with commercial optimization software (ex. CPLEX or Gurobi) and/or commercial simulation software (eg. AnyLogic);
- Expertise in programming, statistical packages, and database languages (ex. Java, R, Python, Scala, SQL and OPL);
- Demonstrated experience in optimizing demand, supply, and network flow challenges related to planning, scheduling, space utilization, and customer service levels;
- Demonstrated problem solving experience analyzing complex data using statistical and advanced analytical methods to deliver predictive and prescriptive insights;
- Exceptional organizational, interpersonal, and written communication skills;
- Ability to work in a matrix environment and influence people at varying levels of responsibility;
- Candidates must demonstrate business aptitude, the ability to rapidly learn new problem domains and become conversant in the domain with business users
Preferred Qualifications:
- Experience in supply chain management, agriculture, and/or laboratory science;
- Hands on experience using IBM DOC framework;
- Experience with software development and architecture related to operations research, artificial intelligence, andmachine learning.
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.
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