Senior Data Scientist (Operational Analytics & AI)

Required Technical Skills GenAI Stack:

Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.

Data Engineering:

Expert-level SQL and PySpark for grooming large-scale datasets.

Statistical Control:

Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.

MLOps:

Proficiency in versioning and deploying models in cloud environments (Azure/AWS).

Education & Certifications Education:

Master s or PhD in a quantitative field (Statistics, CS, Engineering).

Certification :

Lean Six Sigma Black Belt or Six Sigma Black Belt(Active certification mandatory).

Experience:

5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives.