Job Purpose and Impact
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.
Background on team :
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 modelling and machine learning techniques to develop accurate and robust value-based pricing models.
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
Minimum Qualifications :
Bachelor’s degree in data science / math / econometrics / engineering / statistics / economics / quant finance or related quantitative field
Minimum of two 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
Fluent in English
Preferred Qualifications :
4-5 years of Data Scientist experience
Master’s degree in data science / math / econometrics / engineering / statistics / economics / quant finance or related quantitative field from Tier 1 colleges / universities
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