Cargill Lead Optimization Data Scientist in Wayzata, Minnesota
Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Job Purpose and Impact
The Lead Optimization Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models, conceptualizing and developing a pipeline of new projects that help deliver significant value to our businesses and functions.
Continuously seek out best practices and develop skills.
Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver complex projects on time and within budgets.
Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
Take ownership for the entire data science workflow including well defined, complex project scoping, exploratory data analysis, model development, deployment and monitoring.
Provide insight and conceptualization and develop a pipeline of new projects, with expanded knowledge of which projects bring value to the organization.
Provide mentorship to junior data scientists and provide oversight of the interns on the team.
Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Other duties as assigned
Bachelor's degree in data science, computer science, math, engineering, operations research or related field or equivalent experience
Minimum of four years of related work experience
Confirmed ability to present to non-technical audiences
Strong python programming skills
Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
Expertise in operations research and solving complex business optimization problems, including the use of tools such as CPLEX, Gurobi, or similar tools where you helped develop and tune the optimization formulation. Examples of these problems are traveling salesmen problems, inventory optimization, and production planning/scheduling.
Master's degree or PhD in data science, computer science, math, engineering, operations research, or related field
Strong data visualization skills
Strong SQL skills (Structured Query Language)
Experience working with continuous integration and delivery (CI/CD) pipelines
Experience working with Hadoop and other distributed computing frameworks
Experience working with AWS (Amazon Web Services)
Experience in software development environment and code management or versioning
Experience in agriculture or manufacturing industry
Bilingual: English and Spanish OR English and Portuguese
Equal Opportunity Employer, including Disability/Vet.
At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.
Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.
Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.
US Employment Resources: Equal Opportunity Employer, including Disability/Vet.
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