Senior Data Scientist

• Lead end-to-end data science projects from problem definition to deployment and monitoring.
• Develop and optimize machine learning, deep learning, and predictive analytics models.
• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Build solutions using Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and related technologies.
• Work with stakeholders to understand business requirements and translate them into analytical solutions.
• Develop and implement NLP, recommendation systems, forecasting, classification, and clustering models as required.
• Work on Generative AI, LLMs, and AI-driven applications where applicable.
• Collaborate with Data Engineers, ML Engineers, Software Engineers, and Business teams.
• Deploy models using cloud platforms such as AWS, Azure, or GCP.
• Implement MLOps practices, including model deployment, monitoring, versioning, and performance optimization.
• Present analytical findings and model outcomes to technical and business stakeholders.
• Mentor junior and mid-level Data Scientists and contribute to technical strategy.

Required Skills

• 10+ years of experience in Data Science / Machine Learning / Advanced Analytics.
• Strong programming skills in Python and SQL.
• Strong knowledge of Machine Learning and Statistical Modeling.
• Experience with Deep Learning frameworks such as TensorFlow or PyTorch.
• Experience with NLP, Generative AI, LLMs, or related AI technologies.
• Hands-on experience with Spark/PySpark and large-scale data processing.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Knowledge of MLOps and model deployment.
• Strong analytical, problem-solving, and communication skills.
• Experience leading projects and mentoring team members.Role & responsibilities