Data Scientist

• Role description
• Data Science Lead

Experience Level: 8–12 Years

Role Summary

Technical leader responsible for driving complex ML, NLP, and LLM initiatives. Owns solution architecture, quality standards, and technical direction while mentoring teams and advising stakeholders.

Key Responsibilities

Lead large‑scale data science and ML programs.

Define NLP and LLM solution approach and architecture.

Set standards for model evaluation, monitoring, and governance.

Guide teams on best practices across ML lifecycle.

Advise business and leadership on ML strategy and feasibility.

Stay current on emerging ML and LLM technologies.

Mandatory / Key Skills (with expected experience)

Advanced Python and ML systems design: 8–12 years

End‑to‑end ML delivery in production environments: 8–12 years

NLP for enterprise‑scale use cases: 6–8 years

LLM ecosystem (design choices, evaluation, trade‑offs): 5–7 years

Model evaluation, monitoring, and risk management: 6–8 years

Cloud‑native ML architectures: 5–7 years

Technical leadership and stakeholder communication: 6–8 years

Education

Bachelor’s / Master’s / PhD in Computer Science, Data Science, Engineering, or related field.

Process & Ways of Working

Strong understanding of SDLC, Agile, and Scrum methodologies.

Ability to gather requirements, create technical designs, and write clear documentation.

Participate in code reviews and ensure best engineering practices.

Behavioral & Soft Skills

Excellent problem-solving and analytical thinking.

Strong communication and collaboration skills across cross-functional teams.

Self-driven, adaptable, and eager to learn new technologies.

• Other details
• Salary range $80500 to $157500