Job Description

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This role exists to support the Global Digital Insights Lead and Global Price Risk Management Function and become the expert in deploying Predictive AI (Artificial Intelligence) models to forecast ingredient and packaging costs for Mars Petcare. The role will support statistical analysis, model creation, and strategy development within the AI Forecasting tool. The data and insights will be used to drive price stability and cost savings for sourcing and price risk management teams, as well as Commercial and Financial leadership. Previous experience leading AI-centric projects is not required, but a strong desire to learn and deploy innovative tools is a must. In a rapidly digitizing world, this role provides an excellent entry into AI development and strategy.
What are we looking for?

• Bachelor's Degree in Economics, Data Science, Mathematics, Finance, or Business with a preferred focus on Econometrics
• Familiar with data analysis/visualization tools such as SAS, Python, SQL, R, Stata, Power BI
• Proficient in statistical analysis/data science techniques: particularly time series modeling, regression analysis, scenario analysis, etc.
• Can formulate a hypothesis and test and validate new models or can modify existing models by changing parameters or creating additional features
• Passion for learning and promoting use of tools such as Artificial Intelligence, Machine Learning, and Digital technologies to generate efficiencies
• Preferred: 2+ years of experience in Consumer-Packaged Goods (CPG), food, agriculture, commodites or related industry
• Demonstrated ability to succeed in a multi-cultural and remote-hybrid environment
• Demonstrated ability to translate complex data analysis into clear business results for a variety of audiences
• Excellent communication, business acumen, and stakeholder relationship building skills
• Creative problem solving and out of the box thinking to drive efficiencies

What will be your key responsibilities?
Artificial Intelligence (AI)/Machine Learning (ML) Program: 70%

• Be first line of support between internal stakeholders and external AI Forecasting platform and data providers to ensure success of the AI cost forecasting platform.
• Build AI models with support of the third-party AI Platform provider using curated data sources and category knowledge to create accurate predictive models
• Be able to interpret the models and concisely explain their outcomes and impact to the Mars commercial function
• Prepare and give presentations to internal stakeholders, clearly communicating program progress and impact to the business
• Lead and support continuous improvement projects within the AI Forecasting Platform
• Help embed the AI platform into sourcing strategy, along with other digital tools
• Evaluate existing third-party data analysis techniques and scans external market for best practices in AI/ML and forecasting tools

Data and Analytics support: 30%

• Support Price Risk Management function analyzing commodity and ingredient costs using time series analysis, correlation tests, seasonality, cyclicality, etc.
• Using internal and external data sources develop S&D models and price analysis to drive future-oriented insights for key raw materials relating to animal proteins, specialty ingredients, and packaging categories
• Provide data-driven insights and market trend analysis for global and regional category teams
• Automate data sets and data visualization using API's, Excel, or other tools to generate efficiencies (Python, etc)

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.