Data Scientist
Core
Develop advanced analytics, machine learning, and AI solutions to address consumer needs, streamline processes, and drive revenue or reduce costs through automation and business process improvement.
Role type
Data Scientist (Machine Learning & Analytics)
Builds
Production-ready models for pricing elasticity, promotional campaign optimization, and discount recommendations
Domain
Retail / FMCG / Pricing & Promotions
Deliverable
production ML models
Required skills
Multivariate statistical modelling, Machine learning algorithms, SQL, Python, Cloud computing platforms
Preferred skills
Data visualization tools, ML orchestration systems, Spark, LLM implementation, Software engineering methodology, Agile methodology
Technologies
GCP, AWS, Kubeflow, Vertex AI Pipelines, Airflow, Spark, Looker, Streamlit, Tableau
Responsibilities
Develop analytical solutions and production-ready models for pricing and promotions; Apply advanced analytics and AI techniques to internal and external data sets; Collaborate on pricing elasticity modeling and campaign optimization; Translate complex data into strategic insights; Document code and contribute to community best practices
Seniority
Mid-Senior, hands-on IC
