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, including North, South and Central America

Position Overview

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

Key Responsibilities

Description

• Translate data & analytics into business insights by working with global leaders and regional functional teams
• Identify, acquire, and preprocess diverse data sources; validate data integrity and quality; and design scalable, automated data collection and enrichment processes to support robust analytical and machine learning systems.
• Build and train models using machine learning, Time Series and Forecasting techniques

• Design and build workflows with advanced algorithms and models such as ML, Time Series, ML Ops etc. to conform to business needs
• Continuously evaluate and enhance existing systems by redesigning workflows and embedding AI and machine learning models to improve performance, scalability, and business impact.

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

Level of Education and Discipline

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

Certification and/or Licenses

No specific certification or license required.

Experience – Functional/Industry/Commercial Knowledge and Business Acumen

• Advanced analytical skillset, with proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets.
• Demonstrated ability to code in one or more programming languages (Python preferred).
• Experience with data visualization software (Power BI preferred).
• Experience building, evaluating, and deploying statistical models.
• Demonstrated ability to manage multiple priorities simultaneously.

Interpersonal Skills – Leadership, Interactions, Communication, and Influence

• Strong technical curiosity and a passion for problem-solving and innovation.
• Ability to simplify and communicate complex information to internal audiences.
• Ongoing aspiration to learn about new industry tools.
• Continuous improvement mindset, with the ability to use a systemic approach to problem-solving.
• Ability to work with different regions and cultures.

Other Skills and HPO Competencies

• Fluent English is required.

Preferred Qualifications

Level of Education and Discipline

• Master’s degree in a related field.

Certification and/or Licenses

No specific certification or license listed.

Experience – Functional/Industry/Commercial Knowledge and Business Acumen

• Experience with cloud-based tools (Azure preferred).
• Technical knowledge of data environments, transformation, deployments, and MLOps.
• Ability to connect the dots between complex data/analytics and business applications.
• Experience with forecasting use cases.
• Ability to explain model outputs, key drivers, and business implications.
• Experience with an ERP system (SAP preferred).

Interpersonal Skills – Leadership, Interactions, Communication, and Influence

No additional preferred qualifications specified.

Other Skills and HPO Competencies

No additional preferred qualifications specified.

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 value