Lead the design, development, and deployment of advanced data science solutions to drive business outcomes using statistical modeling, machine learning, and marketing analytics
Job Summary
Lead the design, development, and deployment of advanced data science solutions to drive business outcomes using statistical modeling, machine learning, and marketing analytics.
Build and operationalize various machine learning models for use cases like churn prediction, customer segmentation, and recommender systems, leveraging BigQuery and cloud deployment.
Identify and implement practical applications for Generative AI in analytics workflows, including building prototypes with LLMs and ensuring responsible AI practices.
Matching Summary
Lead the design, development, and deployment of advanced data science solutions to drive business outcomes using statistical modeling, machine learning, and marketing analytics.
Skills & Requirements
Must-have
statistical modelling
machine learning models
SQL data extraction and analysis
ML model operationalization
Git and CI/CD workflows
attribution modelling
Generative AI applications
Nice-to-have
technical mentorship
stakeholder consultation
cross-functional collaboration
working under tight timelines
Key Requirements
5+ years applied data science experience
Bachelor's or Master's degree
Proficient in Python, R, SQL, GCP
Experience with MMM libraries
Strong grasp of ML theory and interpretability
Digital campaign KPIs and attribution understanding