The role involves working with the Data Science team in the Marketing domain to develop robust data models that solve complex business problems
Job Summary
The role involves working with the Data Science team in the Marketing domain to develop robust data models that solve complex business problems.
Candidates must translate ambiguous statements into structured problem statements and testable hypotheses to drive customer interaction and business growth strategies.
The position requires a hands-on approach with proven ability to work independently to deliver results while staying abreast of emerging industry trends.
Matching Summary
The role involves working with the Data Science team in the Marketing domain to develop robust data models that solve complex business problems.
Skills & Requirements
Must-have
6-8 years experience in predictive analytics
Marketing Spend and Trade Allocation expertise
Python, Databricks, and PySpark proficiency
Cloud technologies Azure AWS or GCP
Statistical Quality Control foundation
Nice-to-have
Experience with Azure ML Studio
Understanding of RAG (Retrieval Augmented Generation)
Hands-on Agile methodology delivery
Strong relationship building skills
Ability to thrive in complexity
Key Requirements
Bachelor's degree in Engineering, Technology, Statistics, or Economics
Master's degree preferred in Management, Technology, or Analytics
6-8 years experience deploying analytical solutions at scale