Position:
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Data Scientist
Company:
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McCormick & Company, Inc.
Location:
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Gurgaon, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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Not specified
Years of experience:
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0-3 years
Company Description
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McCormick & Company, Inc. is a global leader in the flavor industry with over 130 years of heritage.
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Founded in 1889 in Baltimore, Maryland, McCormick has grown from a small business to a multinational corporation operating in over 170 markets.
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The company employs more than 14,000 people worldwide and generates over $6 billion in annual sales.
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It specializes in the manufacture, marketing, and distribution of spices, seasoning blends, condiments, and other flavorful products used across retail, food service, and industrial sectors.
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Headquartered in the USA, McCormick runs its operations through approximately 60 locations in 25 countries across regions such as Asia-Pacific, China, EMEA, and the Americas.
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The company strongly emphasizes ethical values, respect, inclusion, and the “Power of People” principle, cultivating a collaborative and value-driven work environment.
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Employees are encouraged to contribute to the company's growth and are given ample opportunities for development, participation, and innovation.
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McCormick promotes sustainability and community involvement while creating flavorful products that aim to enhance everyday meals and moments.
Profile Overview
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The role of the Data Scientist at McCormick centers around driving strategic initiatives using advanced data techniques, machine learning, and automation.
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The selected candidate will be part of the AI, Automation, and Data Science team and will report directly to the corresponding manager.
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The primary responsibility is to explore, process, and analyze datasets using statistical and machine learning approaches to improve business efficiency and outcomes.
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The role is highly collaborative, involving constant interaction with various functions, solution teams, and regional partners to integrate scalable AI and ML models into real-world business solutions.
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A strong understanding of algorithm selection based on the problem context, data nature, and expected outcomes is essential.
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The Data Scientist will not only train and evaluate machine learning models but will also work to improve and optimize these models continuously for real-time usage.
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The position offers an exciting opportunity to contribute to the growth of a global flavor giant while gaining exposure to real business challenges and innovation.
Qualifications
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A bachelor’s degree in Supply Chain, Computer Science, Data Science, Finance, or any related technical field is mandatory.
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Hands-on experience with automation tools, data environments, and model development is highly valued.
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Proficiency in programming, testing, and quality assurance processes is a key requirement.
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The candidate must be well-versed in data transformation, query languages (like SQL), and data modeling.
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Experience working across various regions and collaborating with culturally diverse teams will be advantageous.
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Good grasp of statistical methods and machine learning principles such as regression, classification, clustering, and optimization techniques.
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Strong analytical skills to convert business challenges into actionable data-driven solutions.
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Familiarity with cloud platforms, data lakes, and data pipelines is an added advantage.
Additional Info
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The candidate should have excellent communication and interpersonal skills, with the ability to convey complex data insights in a simple and actionable manner.
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McCormick values teamwork, and the candidate should be willing to work collaboratively with international stakeholders and solution teams.
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The role offers exposure to cross-functional and cross-geographic project work, promoting cultural sensitivity and teamwork.
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Strong decision-making capabilities and the ability to set direction based on data insights will play a pivotal role.
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The organization offers a work culture built on trust, respect, and continuous improvement.
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McCormick is committed to diversity, equity, and inclusion and encourages applications from all backgrounds.
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The selected candidate will be part of a forward-thinking team that values innovation and continuous learning.
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The company provides competitive compensation and benefits and fosters career development through learning opportunities and leadership programs.
Please click here to apply.
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