Senior/Lead Data Scientist - Machine Learning/Deep Learning

Key Responsibilities

• Collect, clean, and validate large volumes of structured and unstructured data
• Design, develop, and implement ML/DL models, NLP solutions, and LLM-based applications
• Leverage Generative AI techniques to drive innovation in product development
• Lead Azure Databricks-based workflows and scalable model deployment pipelines
• Interpret data, analyze results, and present actionable insights to stakeholders
• Own the delivery of full data science project lifecycles from problem scoping to production deployment
• Collaborate cross-functionally with engineering, product, and business teams
• Create effective visualizations, dashboards, and reports
• Conduct experiments, research new techniques, and continuously enhance model performance
• Ensure alignment of data initiatives with organizational strategy and KPIs
• Mentor junior data scientists and contribute to team growth and Skills & Qualifications :
• 6+ years of hands-on experience in Data Science or Machine Learning roles
• Strong command over Python (R/MATLAB is a plus)
• Hands-on experience with NLP, Chatbots, GenAI, LLMs (e.g., GPT, LLaMA)
• Proficient in Azure Databricks (Mandatory)
• Experience with both SQL and NoSQL databases
• Solid grasp of statistical modeling, data mining, and predictive analytics
• Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)
• Experience in deploying ML models in production environments
• Bachelors or Masters degree in Computer Science, Mathematics, Data Science, or related field
  

Nice To Have

• Experience in RPA tools, MLOps, or AI product development
• Exposure to cloud platforms (Azure preferred; AWS/GCP is a bonus)
• Familiarity with version control and CI/CD practices