About the role
Data scientists design and implement data analysis processes to derive actionable insights from large datasets. They collaborate with other professionals to build statistical models and present findings to stakeholders to improve business outcomes.
What they look for
Requirements
Candidates must have a bachelor's or master's degree in engineering and 2-5 years of experience in data science. Proficiency in programming languages, cloud technologies, and GenAI tools is required for building production-grade solutions.
Full description
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
- Experience collaborating with UI/UX teams for AI-driven solution delivery
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