You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.
McCormick employees – all 14,000 of us across the world – are what makes this company a great place to work.
We are looking to hire a R&D Intelligence Data Scientist immediately in a Hybrid (50/50) capacity at our Technical Innovation Center in Hunt Valley, MD.

POSITION OVERVIEW

We are seeking a highly analytical, detail-oriented data scientist to support R&D data analytics working out of our Technical Innovation Center. This role involves not only gathering, analyzing, and interpreting R&D data but also overseeing the work of contract business intelligence (BI) analysts to ensure the delivery of actionable insights that will drive our innovation and product development strategies. The ideal candidate will have a robust background in business intelligence and data analytics, strong leadership and communication skills, and a passion for technology and innovation. This position is crucial for making data-driven decisions that align with our strategic goals, enhancing our R&D efforts, and managing external BI resources efficiently.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in data analytics, data science, computer science, economics, information systems, statistics, or another closely related field
• Minimum 5 years proven experience as a Business Intelligence Analyst, Data Analyst, or similar role, ideally supporting R&D or product development teams.
• Minimum 1 year of experience managing people
• Experience using Power BI, SQL, and either R or Python
• Experience in a Microsoft Azure environment
• Strong project management skills and the ability to work under tight deadlines.
• Customer facing experience working directly with and supporting data analytics needs of internal data analytics customers
• Ability to communicate complex data insights in a clear and effective manner to technical and non-technical stakeholders.
• Experience harmonizing data from multiple systems and/or files
• Experience analyzing complex data sets and generating insights
• Critical thinking skills with the ability to connect the dots between data sets and business relevant insights
• Proven success multi-tasking in a fast-paced environment

PREFERRED QUALIFICATIONS

• Experience with food R&D or product development
• Master’s degree in data analytics, data science, computer science, or statistics
• Experience with Denodo
• Experience with SalesForce, SAP, CompuSense, and DevEx systems
  

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

KEY RESPONSIBILITIES

• Collaborate closely with the R&D teams to understand their decision-making process, workflows, and data analysis goals, and translate into analytics/reporting requirements
• Design, develop, and maintain scalable dashboards, and other business intelligence tools and data models to support R&D decision making and tracking of R&D metrics and KPIs
• Conduct in-depth analysis of data using statistical methods and tools to identify trends, patterns, and insights that influence product development decisions.
• Prepare and present regular reports to R&D management teams, highlighting key findings, recommendations, and potential areas for improvement
• Directly manage and oversee the work of contract business intelligence analysts, ensuring quality control, alignment with project objectives, and effective utilization of external resources. Serve as the primary point of contact for contract BI analysts, coordinating tasks, managing timelines, and facilitating communications between external analysts and internal teams.

SECONDARY RESPONSIBILITIES

• Stay abreast of industry trends and advancements in business intelligence technologies to continuously improve analytics capabilities
• Identify opportunities for process improvements and assist in the implementation of data-driven strategies to enhance R&D productivity and efficiency.