Sr Data Scientist I Global

3 weeks ago


Delhi, Delhi, India McCormick & Company Full time

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 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%)

PREFERRED QUALIFICATIONS:

  • 8+ years experience in CPG industry
  • Experience in marketing mix analysis and deployment to business

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.



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