McCormick & Company

Associate Data Scientist

McCormick & Company

full-time

Posted on:

Location Type: Office

Location: Gurgaon • India

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Tech Stack

AzureCloudERPPython

About the role

  • Translate data & analytics into business insights by working with global leaders and regional functional teams
  • Design workflow with models using AI and machine learning models
  • Enhance data collection procedures to include information that is relevant for building analytic systems and to include more automation
  • Build workflows with advanced algorithms and models such as OCR, Translation, Generative AI etc. on data to extract or transform data to conform to business needs
  • Identify, process, cleanse, and verify the integrity of data used for analysis
  • Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion
  • Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digital transformation

Requirements

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field
  • Advanced analytical skillset
  • Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets
  • Knowledge of coding in one or more languages (Python preferred)
  • Experience with data visualization software (Power BI preferred)
  • Experience working with statistical models and AI algorithms
  • Strong technical curiosity and passion for problem solving and innovation
  • Ability to simplify and communicate complex information to internal audiences
  • Experience with Cloud based tools (Azure preferred)
  • Experience with an ERP system – SAP preferred
  • Technical knowledge for Data environments, transformation, and ML opportunities
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsAImachine learningOCRdata cleansingdata visualizationstatistical modelsPythonPower BIdata transformation
Soft Skills
analytical skillsproject managementplanningorganizingcommunicationproblem solvingtechnical curiosityinnovation