Optimization Scientist
Job Purpose and Impact
The Optimization Scientist will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to the organization's businesses and functions.
Key Accountabilities
- Continuously seek out best practices and develop skills.
- Contribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.
- Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.
- Take ownership and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
- Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
- Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor. Other duties as assigned.
Qualifications
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Computer science, Operational Research, Math OR related field OR Equivalent Experience.
- Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).
- Strong coding skills in Python (or similar object-oriented programming language).
- Minimum of 4 years of related work experience.
PREFERRED QUALIFICATIONS:
- Three or more years’ experience in Supply chain
- Master's degree or PhD in Computer science, Artificial Intelligence, Optimization, Operational Research OR Math OR related field.
- Professional experience applying optimization for Supply Chain solutions.
- Experience on Optimizer model development with Gurobi, CPLEX.
- Experience with scalable Machine Learning (distributed systems, MapReduce, streaming, etc.).
Disclamer
Protect yourself against recruitment fraud. Cargill will not ask for money, processing fees, or bank information as a pre-condition of employment. We are aware that unauthorized individuals may have posed as Cargill recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website.
Learn how to protect yourself from recruitment fraud
Linkedin 채용 매칭
카길에서 어떤 업무에 적합할 지 알아보십시오. 로그인하여 LinkedIn 프로필에 연결하면 여러분의 기술과 경험을 바탕으로 가장 적합한 일자리 정보를 검색할 수있습니다.
우리의 위치
우리는 전 세계 70개국 이상의 국가에서 고객과 지역사회에 기여하는 것을 자랑 스럽게 생각 합니다. 전 세계 카길 직원들은 안전하고 책임감 있으며, 지속 가능한 방식으로 세상을 풍요롭게 하는데 공헌 하고 있습니다. 우리와 함께 하여 카길에서의 경력이 여러분의 더 높은 목표 달성에 어떤 도움이 되는지 알아 보십시오.
