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Operations Research Engineer


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Job Title: Operations Research Engineer
Location: Durham, NC, South United States, USA
Company: Syngenta
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed & Biotechnology
Career Type: Researcher/Research & Development
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive
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About Syngenta

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

 

About Us

Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking an Operations Research Engineer.

You will help meet the world’s most pressing needs by:

    Focusing on complex business processes and operations within Seed Development. Operational efficiency and effectiveness will be attained by developing, implementing, and maintaining algorithmic solutions based on Operations Research / Mathematical Optimization techniques

Accountabilities

    Build and implement mathematical optimization models using linear programming, mixed-integer programming, nonlinear programming, constraint programming, and hybrid techniques This can also involve multi-objective and robust optimization techniques Design and create user-friendly GUIs, reports, and data visualizations to facilitate the execution of data-driven optimization models and scenario comparisons by the end-user Identify, collect, and structure data from different sources to specify input for optimization models. Support data architecture design and integration into a central data lake Identify relevant business KPIs and metrics that drive optimization objectives Run simulations to validate optimization models Manage projects focused on the development and implementation of optimization solutions to support strategic decisions and day-to-day operations Collaborate with various departments and communicate effectively with line-of-business end-users to review current operational systems and business procedures within seeds development, discover pain points, and identify mathematical optimization use-cases. Break them down into MVPs minimum viable products and apply Operations Research techniques Prepare management reports that clearly define and analyze issues and recommend solutions to help management make informed decisions Discuss and analyze the impact of Operations Research solutions with different stakeholders such as managers and subject matter experts across the various departments Follow an agile way of working Contribute to the development of technical training offerings and curricula to support effective implementation and awareness of Operations Research capabilities

 

Requirements

    Masters degree in Operations Research, Applied Mathematics, Industrial Engineering, Data Science, Management Science, Computer Science, or related field Solid understanding of Operations Research techniques, especially mathematical programming. Knowledge of combinatorial optimization techniques is an advantage 2+ years demonstrable applied experience in implementation of Operations Research / Mathematical Optimization applications in an industrial context, preferable in Manufacturing and Logistics Ability to work in teams and across geographies Problem-solving skills – identify complex business problems, evaluate the application of Operations Research techniques, and implement decision-support solutions Hands-on experience with Mathematical Optimization Software such as CPLEX, Gurobi, MOSEK, SCIP, or Xpress Experience with model development, such as AIMMS, AMPL, GAMS, Mosel, MPL, OPL, etc. Experience with programming languages such as C/C++/C#, Python, etc. Some experience in data visualization with Power BI, Tableau, or similar Analytical mindset

What We Offer:

    Full Benefit Package Medical, Dental & Vision that starts the same day you do 401k plan with company match, Profit Sharing & Retirement Savings Contribution Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year

 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

 

Family and Medical Leave Act FMLA

 

Equal Employment Opportunity Commission's EEOC

 

Employee Polygraph Protection Act EPPA

 

 

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To apply please click on APPLY TO THIS POSITION

Job Post Date: 02/24/21
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