Associate Manager - Data Scientist
The Kraft Heinz CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Build and deliver advanced analytics products using AI, Data Science, and Machine Learning within a cross-functional team.
Develop scalable, interpretable statistical models and engineer features to improve these models using business knowledge.
Integrate data-driven solutions into products and tools, collaborating with data engineers, analysts, and developers to drive impact across R&D, consumer engagement, and supply chain.
Minimum Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, or Statistics.
5+ years of work experience.
Proficiency in Python and/or R, SQL, and machine learning techniques including clustering, time series, classification, regression, anomaly detection, simulation, and optimization.
Experience in marketing analytics or root cause analysis; prior work in retail or CPG analytics; familiarity with Big Data technologies such as Hadoop, Spark, Redshift, or Snowflake.
Ideal Candidate Profile
Experienced in applying machine learning solutions within retail or consumer packaged goods (CPG) analytics environments.
Capable of working effectively in small, nimble, cross-functional teams focused on operationalizing AI and data science.
Skilled at creating repeatable, interpretable, and scalable statistical models that integrate business acumen with technical capabilities.