Data Scientist

About the role

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.

Responsibilities

• Enhance data collection procedures and process and verify data to ensure integrity.
• Develop and execute end-to-end data validation scripts using Python for large-scale data migrations between SQL and NoSQL environments.
• Translate data and analytics into business insights using Machine Learning, Python, SQL, and Azure ML to optimize manufacturing, supply chain, and product innovation.
• Design and deploy LLM-powered web interface bots for manufacturing environments, enabling non-technical users to interact with complex operational data and automated workflows through conversational interfaces.
• Drive the development of scalable data pipelines and machine learning workflows using cloud-based platforms including Azure (DevOps, ML, ADLS Gen2).
• Build and optimize Spark ETL applications.
• Build and deploy predictive scoring models and complete statistical modeling.
• Develop and deploy 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.
• Automate business processes.
• Research industry best practices and skills to develop new capabilities for data analytics and drive the company’s 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.
• 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.
• 24 months of experience in the job offered or related occupation.
• 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.
• 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.

Pay

$119,371/year

Schedule

Full Time, 40 hours/week

Benefits

Standard benefits

McCormick does not offer employment visa sponsorships upon hire or in the future.