Data Scientist

About Us

With more than $4 billion in annual sales, the Company manufactures markets and distributes retail outlets, food manufacturers and foodservice businesses. We create differentiating flavors consumers prefer with unmatched quality, science, innovation and service. Every day, no matter.

where you are or what you eat, you can enjoy food flavored by McCormick. McCormick brings passion to flavor™!

As a company recognized for exceptional commitment to employees, McCormick offers a wide variety of benefits, programs and services including, but not limited to, tuition assistance, medical, dental, vision, disability, group life insurance, 401(k) with partial company match, profit sharing, paid holidays, paid sick time and paid vacations.

POSITION OVERVIEW:

This Data Scientist will be responsible for providing leadership and subject matter expertise in the application of advanced analytics to solve business problems. The role requires a deep understanding of the processing, analyzing and modeling of structured and unstructured data, combined with the ability to interpret results and make recommendations to business stakeholders to shape strategies for our business units globally. The candidate needs to be able to establish credibility in a wide variety of business partners by providing consulting (advisory) services as well as high quality execution across multiple priorities, in a fast-paced environment.

RESPONSIBILITIES:

Leverage data mining and analytical skills to provide advanced analytic solutions to solve business problems and bring new insights to the business

Develop and deploy statistical models in the areas of forecasting, marketing mix, segmentation and consumer/market insights

Build, interpret and report on large data sets with structured and unstructured data

Continuously seek out industry best practice and skills development to create new capabilities for data analytics at McCormick

REQUIRED QUALIFICATIONS:

Bachelor’s or Master’s degree in Mathematics, Statistics, Engineering or Data Analytics/Science

Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; at least 8 years experience preferred

Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain.

Demonstrated ability to connect the dots between complex data/analytics and business understanding

Expertise in SQL, coding in one or more languages (R preferred)

Experience with data visualization software (Power BI preferred)

Comfortable working with structured and unstructured data sources, including syndicated data, SAP

Strong technical curiosity and passion for problem solving and innovation

Strong global cross-functional leadership, communication and teamwork skills

Ability to manage multiple priorities simultaneously and foresee and address issues before they become significant obstacles

Ability to travel occasionally as needed (0-5%)