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 machine learning models for use cases such as churn prediction, customer segmentation, lifetime value scoring, and recommender systems, leveraging BigQuery and cloud platforms.
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
Machine learning model development
Statistical modeling and analysis
SQL for data extraction and analysis
Cloud deployment and containerization
Generative AI applications in analytics
Attribution modeling with game theory
Nice-to-have
Technical mentorship to junior staff
Stakeholder communication and consultation
Agile workflow management
Prototyping with large language models
Key Requirements
5+ years of applied data science experience
Bachelor's or Master's degree
Proficiency in Python, R, SQL, and Google Cloud Platform
Experience with MMM libraries and probabilistic programming
Understanding of digital campaign KPIs and attribution modeling