Senior Data Scientist
Core
Designing and delivering AI, machine learning, and automation solutions to drive business impact in retail and digital transformation.
Role type
Senior IC data scientist (AI/ML & GenAI)
Builds
Scalable production-ready AI solutions, data pipelines, feature engineering workflows, and GenAI/LLM applications.
Domain
Retail, e-commerce, FMCG, digital business
Deliverable
production ML models | product features
Required skills
Python, SQL, machine learning frameworks (Scikit-learn, TensorFlow, PySpark), statistics, forecasting, experimentation, MLOps, model deployment and monitoring
Preferred skills
Azure ML, MLflow, Airflow, Docker, Kubernetes, GenAI, LLM applications, prompt engineering, RAG pipelines, data governance
Technologies
Azure Databricks, Azure ML, MLflow, Airflow, Docker, Kubernetes, PySpark, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Design, develop, and deploy end-to-end AI/ML and automation solutions; Build scalable data pipelines, feature engineering workflows, and predictive models; Apply machine learning, statistical analysis, forecasting, and experimentation techniques to solve business problems; Collaborate with business and technology teams to translate business needs into AI/ML solutions; Implement and support MLOps practices including model deployment, monitoring, retraining, and CI/CD workflows; Develop GenAI/LLM-based applications and automation tools to improve operational efficiency; Mentor junior data scientists through code reviews, technical guidance, and best practices
Seniority
Senior, hands-on IC with mentorship
