Data Scientist

McCormick Flavor Solutions; Cockeysville (MD); On-site; USD 101,000 - 137,000; Full time

Benefits offered by this job

Full-time role

40 hours/week

Standard benefits

Job summary

McCormick & Company, Inc. in Hunt Valley, MD seeks a Data Scientist to build advanced analytics and real-time decision-support models.

You will enhance data collection, validate large-scale migrations, and translate analytics into actionable business insights using Python, SQL, Azure ML, Tableau and PowerBI. You will design scalable data pipelines, deploy ML workflows on cloud platforms, and work with cross-functional teams including R&D and production to drive digitalization and automation

Qualifications

• 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.

Responsibilities

• Create advanced analytical models and solutions to provide real-time insights for decision-makers focusing on ROI and business impact.
• Enhance data collection procedures and verify data integrity.
• Develop and execute end-to-end data validation scripts for large-scale migrations across SQL and NoSQL databases.
• Translate data and analytics into business insights using ML, Python, SQL and Azure ML.
• Design and deploy scalable data pipelines and ML workflows on cloud platforms like Azure.
• Build and optimize Spark ETL applications and deploy predictive scoring models and statistical analyses.
• Collaborate with procurement, R&D and production to align data strategies with business goals.

Skills

Data validation scripting

Real-time insights

Cross-functional collaboration

Tools

Python

Tableau

PowerBI

SQL

NoSQL

Azure

Spark

MLflow

SAP APO

SAP S/4HANA

Job description

Title: Data Scientist

Location: McCormick & Company, Inc., 24 Schilling Road, Suite 1, Hunt Valley, MD 21031

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

• 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.