Data Scientist

Duties: Create advanced analytical models and solutions to provide real-time insights for decision-makers focusing on ROI and business impact using Python, Tableau and PowerBI. This includes: enhancing data collection procedures; processing and verifying data to ensure integrity; developing and executing end-to-end data validation scripts using Python for large-scale data migrations between database environments including SQL and NoSQL environments; translating data and analytics into business insights using Machine Learning, Python, SQL and Azure ML to optimize manufacturing, supply chain, and product innovation; designing and deploying LLM-powered web interface bots for manufacturing environments, enabling non-technical users to interact with complex operational data and automated workflows through conversational interfaces; driving the development of scalable data pipelines and machine learning workflows using cloud-based platforms including Azure (DevOps, ML, ADLS Gen2); building and optimizing Spark ETL applications; building and deploying predictive scoring models; completing statistical modeling; developing and deploying machine learning models on HR datasets, including sentiment analysis of employee survey responses and predictive modeling to identify retention risk and drive data-driven workforce strategy and automating business processes. Will also research industry best practices and skills to develop new capabilities for data analytics for the Company and drive its digitalization strategy and business process enhancements and automations; collaborate with cross-functional teams, including procurement, R&D and production, to align data-driven strategies with business goals; and serve as a liaison between technical and non-technical stakeholders, ensuring alignment and understanding.

Requirements: Master’s degree in Data Analytics/Science, Computer Science or related field and 24 months of experience in the job offered or related occupation. Experience must include:

2 years’ experience developing and executing end-to-end data validation scripts using Python for large-scale data migrations between database environments including SQL and NoSQL environments.

2 years’ experience with PowerBI and Tableau data visualization software.

2 years’ experience developing predictive models.

2 years’ experience building and optimizing Spark ETL applications.

2 years’ experience designing and deploying scalable data ingestion and processing pipelines on cloud infrastructure using Azure, AWS or Google.

2 years’ experience using MLflow experiment tracking and model lifecycle management tools for logging, versioning, and deploying machine learning models in cloud environments.

1 year experience with SAP ERP system, specifically, APO and SAP S/4HANA supply chain modules.

Salary: $119,371/year + standard benefits; Hours: Full Time, 40 hours/week

As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.

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

WHY WORK AT MCCORMICK?

As a McCormick employee you’ll be empowered to focus on more than your individual responsibilities. You’ll have the opportunity to be part of something bigger than yourself-to have a say in where the company is going and how it’s growing.

Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.