Principal Data Scientist

Experience: 10+ Years

Notice Period: Immediate to 30 Days

Work Mode: Hybrid(3 Days Office & 2 Days WFH)

Location: Hyderabad

Skills Required:

• Bachelors or Masters in Computer Science, Statistics, Math, Data Science, or related field.
• 10+years designing and deploying production-grade ML or data engineering solutions, including a track record of owning ambiguous, org-wide technical initiatives.
• Proficiency in Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL.
• Hands-on work with at least two of the following platforms: OpenSearch, Snowflake (including Cortex AI functions), Redshift, Redis, Pinecone, SageMaker.
• Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
• Experience implementing data governance, access controls, and security best practices for sensitive enterprise and financial data.
• Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).
• Clear, concise communicator able to present complex analyses to senior leadership.
• Demonstrated ability to independently drive technical direction and influence decisions across multiple teams without formal authority.

Preferred Qualifications:

• Prior exposure to LLM fine-tuning, prompt engineering, or RAG pipelines.
• Hands-on experience with Snowflake, including Cortex AI functions, for in-platform ML/LLM workloads.
• Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or GCP.
• Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.
• Familiarity with Agentic AI frameworks (LangChain Agents, CrewAI, Haystack, etc.).
• Track record of hackathon wins, open-source contributions, or published research.