Lead Data Scientist

About The Role

• We are looking for a Lead Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.
• It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.
• We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.
• The Value You Deliver As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.
• You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.

Required Skills

• Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
• Prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
• Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
• Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
• Experience in formulating and solving optimization problems
• Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
• Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams

Must Have Skills

• Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
• Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
• Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance
• Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks

Nice to Have skills

• Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
• Experience working with knowledge graph, graph-based learning approaches
• Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)

Key Skills - Python, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks