ASSOCIATE DATA SCIENTIST

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, cleaning data, incorporating AI and predictive models, and visualizing data to solve problems and innovate new ways of working for the global business. Effective communication skills, organization, innovative thinking, and a will to learn current business processes and new data science techniques are essential.

Key Responsibilities

• Translate data & analytics into business insights by working with global leaders and regional functional teams.
• Design workflow with models using AI and machine learning models
• Enhance data collection procedures to include information that is relevant for building analytic systems and to include more automation
• Build workflows with advanced algorithms and models such as OCR, Translation, Generative AI etc. on data to extract or transform data to conform to business needs.
• Identify, process, cleanse, and verify the integrity of data used for analysis
  
  

Secondary Responsibilities

• Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion
• Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digital transformation
  
  

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.)
  
  

Preferred Qualifications

• Experience with Cloud based tools (Azure preferred)
• Experience with an ERP system – SAP preferred.
• Technical knowledge for Data environments, transformation, and ML Opps
• Ability to connect the dots between complex data/analytics and business application
• Technical knowledge for backend development
• Experience Training ML models
  
  

Work Environment Designation: Office

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, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.