Senior Data Scientist

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s food ingredients and bio-industrial business, where we anticipate trends around taste, nutrition and safety to innovate and provide solutions to manufacturers, retailers and foodservice companies.
Job Purpose and Impact

Strategic Pricing Center of Excellence is a central team that works with Cargill’s various Food Ingredients and Bio-industrial (FIBI) businesses. Our mandate is to elevate Strategic Pricing capabilities and practices for FIBI businesses. As part of this, we aim to develop predictive pricing models leveraging Cargill’s vast data supply. To accomplish this, we are looking to build a team of data scientists who will drive this exciting journey.
As a Senior Data Scientist within the Strategic Pricing Center of Excellence, you will work with pricing and other commercial teams, IT, and other data scientists to develop predictive pricing models that enable value-based pricing across Cargill. You will work on a multidisciplinary and collaborative team exploring, connecting, and mining data. You will be working on projects that use statistical modeling and machine learning techniques to develop accurate and robust value-based pricing models.
The Strategic Pricing Senior Data Scientist will work in multidisciplinary teams to develop proof of concepts, minimum viable products, and fully deployable solutions. In this role, you will create innovative predictive models that will deliver significant value to our businesses. Key Accountabilities

Design decision making solutions and build tools globally relating to fundamental and non-fundamental influences on price levels of food ingredient products and commodity markets
Develop scalable machine learning components to generalize models to other data sources and product groups
Lead the discovery and prototyping of new quantitative pricing models and strategies
Benchmark and back test models to gauge accuracy
Maintain and enhance code repository
Liaison with software development teams and business users to guide development of user-friendly pricing software
Coordinate with the pricing teams on the model's correct usage to validate conclusions and improvement opportunities
Other duties as assigned Qualifications

Minimum Qualifications
Bachelor’s degree in ​data science/math/econometrics/engineering/statistics/economics/quant finance or related quantitative field
Minimum of four years of related work experience or an advanced degree in a related field
Strong programming skills, preferably Python
Strong background in statistics
Knowledge of machine learning applications

Preferred Qualifications
Master’s degree in ​data science/math/econometrics/engineering/statistics/economics/quant finance or related quantitative field
Prior hands on experience with predictive modelling
Strong SQL skills
Experience managing teams during software development
Experience in software development environment and code management or versioning
Experience working with continuous integration and delivery (CI/CD) pipelines
Experience working with Hadoop and other distributed computing frameworks

Equal Opportunity Employer, including Disability/Vet