At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas.

At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.

Position Overview

This role will be responsible for applying data mining techniques, completing statistical analysis, building predictive models, and visualizing data to solve problems and shape strategies for the global business. Effective communication skills, organization, time management, and a will to learn current business processes are essential.

Key Responsibilities

Translate data & analytics into business insights by working with global leaders and regional supply chain teams.

Select features and build models using machine learning techniques.

Enhance data collection procedures to include information that is relevant for building analytic systems.

Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digitalization strategy.

Process, cleanse, and verify the integrity of data used for analysis.

Improve, standardize, and automate current business processes.

Required Qualifications & Experience

Bachelor’s degree in Mathematics, Statistics, Engineering, Data Analytics/Science, or related field.

Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets

Ability to connect the dots between complex data/analytics and business application

Understanding of concepts, principles, and practices in Supply Chain

Experience coding in one or more languages (Python / R preferred)

Experience with data visualization software (Tableau preferred)

Demonstrated ability to build statistical models

Demonstrated ability to manage multiple priorities simultaneously

Extensive experience with Microsoft Office (Excel, PowerPoint, Access, Etc.)