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Job Description
Structured overview of role & requirementsAbout This Role
Build advanced analytics products using AI, Data Science, and Machine Learning to solve business challenges in R&D, consumer engagement, and supply chain.
Develop systematic, repeatable, interpretable, scalable statistical models integrated into products and tools with cross-functional teams.
Engineer features using business knowledge, deploy best-in-class solutions, and promote data-driven decision-making across the enterprise.
Minimum Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, or Statistics.
2-5 years of relevant work experience in data science or analytics roles.
Proficiency in Python and/or R, SQL, and experience with machine learning techniques.
Experience in marketing analytics or root cause analysis; experience in retail or CPG analytics teams.
Ideal Candidate Profile
Experienced in building scalable machine learning models with practical business impact in consumer goods or retail sectors.
Comfortable working in agile, cross-functional small teams with data engineers, analysts, and developers.
Familiarity with Big Data technologies like Hadoop, Spark, Redshift, or Snowflake and capable of integrating analytical solutions in cloud environments.