Data Scientist

Role descriptionData Science Lead Experience Level: 8–12 YearsRole SummaryTechnical 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 ResponsibilitiesLead 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 yearsEnd‑to‑end ML delivery in production environments: 8–12 yearsNLP for enterprise‑scale use cases: 6–8 yearsLLM ecosystem (design choices, evaluation, trade‑offs): 5–7 yearsModel evaluation, monitoring, and risk management: 6–8 yearsCloud‑native ML architectures: 5–7 yearsTechnical leadership and stakeholder communication: 6–8 yearsEducationBachelor’s / Master’s / PhD in Computer Science, Data Science, Engineering, or related field.Process & Ways of WorkingStrong 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 SkillsExcellent problem-solving and analytical thinking.Strong communication and collaboration skills across cross-functional teams.Self-driven, adaptable, and eager to learn new technologies.Other detailsSalary range $80500 to $157500