McCormick is hiring for an FRESHER entry level Data Scientist role in India

Position:

Data Scientist

Company:

McCormick

Location:

Gurgaon, India

Job type:

Full Time

Job mode:

Onsite

Job requisition id:

Not specified

Years of experience:

0-3 years

Company Description

• McCormick is a globally recognized food and flavor company with a long history dating back to 1889.
• The organization was founded in Baltimore, Maryland, and has grown from a small business into one of the world's leading flavor companies.
• The company develops, manufactures, markets, and distributes spices, seasoning blends, condiments, sauces, and flavor solutions.
• McCormick serves a broad customer base that includes retailers, food manufacturers, restaurants, foodservice providers, and consumers.
• The company operates in numerous countries and supports customers across a large number of international markets.
• With thousands of employees worldwide, McCormick has established itself as a trusted name within the food industry.
• Innovation, quality, and customer focus remain central to its business operations.
• The company promotes a workplace culture built on collaboration, inclusion, respect, ethical practices, and continuous learning.
• Employees are encouraged to contribute ideas, support innovation, and participate in organizational growth initiatives.
• McCormick continues to invest in technology, analytics, digital transformation, and advanced business capabilities to strengthen decision making and operational efficiency.

Profile Overview

• McCormick is seeking a Data Scientist to support global business initiatives through advanced analytics and data science solutions.
• The role focuses on transforming raw and complex datasets into actionable business insights.
• The selected candidate will work with diverse stakeholders across multiple business functions and geographic regions.
• Responsibilities include gathering, preparing, validating, and analyzing data from multiple sources.
• The professional will develop machine learning models, forecasting solutions, and analytical frameworks that support strategic decision making.
• The position requires strong analytical thinking, problem solving capabilities, and technical expertise.
• The candidate will contribute to the design and implementation of scalable analytics workflows.
• This role also supports automation initiatives and the integration of artificial intelligence into business processes.
• Successful candidates will demonstrate strong communication skills and the ability to explain technical findings to non technical audiences.
• The position offers exposure to global operations, modern data science methodologies, and enterprise level digital transformation projects.
• Continuous learning and innovation are important aspects of the role.
• The individual will help drive data driven decision making while supporting McCormick's long term business objectives.

Key Responsibilities

• Collaborate with global business leaders and regional teams to convert analytical findings into meaningful business recommendations.
• Collect data from multiple sources and ensure its quality, completeness, and reliability.
• Build efficient data preparation and enrichment processes for analytics and machine learning initiatives.
• Perform statistical analysis and data mining activities to identify trends, patterns, and opportunities.
• Design, develop, train, validate, and deploy machine learning models.
• Work on forecasting and time series analysis projects to support planning and operational decisions.
• Create scalable workflows using machine learning, artificial intelligence, and ML Ops methodologies.
• Continuously improve existing analytical systems and processes.
• Integrate advanced analytical solutions into business operations.
• Evaluate model performance and identify opportunities for optimization.
• Contribute to digital transformation initiatives through innovative data science applications.
• Support project planning, execution, and successful delivery of analytics initiatives.
• Research emerging industry trends and recommend new analytical capabilities.
• Promote best practices related to data science, machine learning, and business analytics.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Data Analytics, or a related discipline.
• Strong analytical and quantitative problem solving skills.
• Experience working with large and complex datasets.
• Proficiency in Python or similar programming languages.
• Knowledge of data cleaning, data transformation, and exploratory data analysis techniques.
• Experience with data visualization platforms, preferably Power BI.
• Understanding of statistical modeling concepts and machine learning algorithms.
• Ability to evaluate, deploy, and monitor analytical models.
• Strong communication and presentation abilities.
• Ability to explain analytical outcomes in a business friendly manner.
• Strong organizational and multitasking capabilities.
• Passion for innovation, technology, and continuous improvement.
• Ability to work effectively with teams across different countries and cultures.
• Strong English communication skills.
• Demonstrated ability to manage multiple projects and priorities simultaneously.

Additional Information

• A Master's degree in a related field is considered advantageous.
• Experience working with cloud platforms, especially Microsoft Azure, is preferred.
• Familiarity with data engineering, data transformation, and deployment environments is beneficial.
• Knowledge of ML Ops concepts and production level machine learning systems is desirable.
• Experience in forecasting projects can provide added value.
• Understanding of ERP platforms, particularly SAP, is preferred.
• Candidates who can connect technical findings with business outcomes will be highly valued.
• The company values curiosity, adaptability, and continuous learning.
• Employees are encouraged to explore new technologies and innovative approaches.
• McCormick emphasizes collaboration, inclusion, and respect across all levels of the organization.
• Team members are empowered to contribute to strategic business decisions.
• The role provides opportunities to work on enterprise scale data science initiatives.
• Employees gain exposure to international business operations and cross functional teams.
• The organization supports professional development and long term career growth.
• Individuals joining McCormick become part of a company committed to innovation, integrity, and people focused leadership.

Please click here to apply.