Senior Data Scientist

Department:

Location:

Description

About the Role:

Key Responsibilities

• Own end-to-end Data Science/ML solutions from problem definition to production.
• Develop, optimize and deploy production-grade ML/AI models.
• Apply advanced Python, SQL, statistics, ML and deep-learning techniques.
• Work on GenAI/LLM, RAG, NLP, recommendation or other AI use cases as relevant.
• Build scalable ML pipelines and contribute to system/solution architecture.
• Work with cloud and MLOps for deployment, monitoring and model lifecycle management.
• Perform experimentation, model evaluation, error analysis and continuous improvement.
• Partner with engineering/product teams to deliver measurable business impact.
• Mentor junior/mid-level Data Scientists and contribute to technical best practices.
  

Skills, Knowledge & Expertise

• 5+ years in Data Science / ML / AI.
• Advanced Python & SQL.
• Strong ML/statistics fundamentals with deep implementation experience.
• Expertise in at least one AI/ML specialty.
• Production ML experience.
• Strong cloud/MLOps understanding.
• Good system-design exposure.
• Strong problem-solving and stakeholder communication skills.

Preferred

• PyTorch/TensorFlow, Scikit-learn, XGBoost/LightGBM, AWS/Azure/GCP, Docker, Kubernetes, MLflow, CI/CD, RAG, LLMs, vector databases and LLM evaluation.
  

What We Expect