McCormick & Company, Inc., a global leader in the spice, flavor, and seasonings industry, is seeking a full-time Data Scientist that will work on the Revenue Management Team. This new hire will work in Hunt Valley, MD using a hybrid work schedule.The Data Scientist will report to a Revenue Management Manager.

McCormick & Company, Incorporated is a global leader in flavor with approximately 13,000 employees worldwide. As a Fortune 500 company with over $5 billion in annual sales across 160 countries and territories, we manufacture, market, and distribute spices, seasoning mixes, condiments, and other flavorful products to the entire food industry including e-commerce, retail,food manufacturers and foodservice businesses. Our most popular brands include McCormick, French's, Frank's RedHot, Stubb's, OLD BAY, Lawry's, Zatarain's, Ducros, Vahiné, Cholula, Schwartz, Kamis, DaQiao, Club House, Aeroplane, and Gourmet Garden. Every day, no matter where or what you eat or drink, you can enjoy food flavored by McCormick. Our Purpose is "To Stand Together for the Future of Flavor and our Vision is "A World United by Flavor—where healthy, sustainable and delicious go hand in hand."

As a company recognized for its exceptional commitment to employees, McCormick offers a wide variety of benefits, programs, and services. Benefits include, but are not limited to, tuition assistance, medical, dental, vision, disability, group life insurance, 401(k), profit sharing, paid holidays, and vacation.

POSITION OVERVIEW

The Data Scientist will support the Revenue Management team leveraging and building upon existing IRI consumption data and financial information to model future Revenue Management initiatives. In addition the Data Scientist will build upon existing reports to further develop analytical capabilities and presentations to influence customers and brand teams, and build new capabilities as new sources of data such as e-commerce and new trade promotion evaluation platforms become available.

RESPONSIBILITIES

• Analyze pricing, IRI, shipment, cost structure and trade to create NSV / OP value
• Share key learning with cross functional partners such as category management, marketing, sales, and sales planning to influence and drive action.
• Explore new data sources to uncover new insights to influence brand and sales teams as well as customers

REQUIRED QUALIFICATIONS

• BA/BS in Finance, Strategy, Statistics, Advanced Analytics or equalvalent
• 3-5 years of analytical capabilities developed in financial, commercial or supply chain role
• Commercial analytics experience preferred but equivalent modeling and predictive modeling capabilities can be leveraged in role
• Ability to aggregate, model, assess and draw conclusions from multiple financial and commercial data sets.
• Ability to translate complex models to cross-functional partners in simple, easy to understand form to drive action

PREFERRED QUALIFICATIONS

• Strong understanding of basic predictive statistical tools such as linear regressions built on MS Excel or statistical packages such as R, E-Views and SPSS to build predictive models.
• Commercial environment - understands limitations to models based on business environment, leveraging analytics to inform vs. decide, and adapting accordingly to drive action

McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.