Lead Data Scientist

2 days ago

Chennai, Tamil Nadu, India Neowaretechnology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Lead Data Scientist

Location: Chennai

Shift: General

Experience: 8+ years

About the Role

We are seeking a hands-on and visionary Lead Data Scientist to design and deliver enterprise-grade Machine Learning (ML) and Generative AI solutions. This role spans the full project lifecycle from blueprint design, data workflows, and technical architecture to development, deployment, and cost estimation. As a leader, you will guide a team of data scientists and engineers, ensuring solutions are scalable, robust, and enterprise-ready.

You will report directly to the Practice Head – Data Science and AI.

Key Responsibilities

  • Blueprint & Architecture: Translate business needs into logical workflows, data flows, and scalable technical architectures.

  • Solution Delivery: Build and deploy advanced ML and GenAI solutions, including:

  • Generative AI (document intelligence, semantic search, summarization, conversational Q&A).

  • ML use cases (forecasting, classification, clustering, recommendation engines, anomaly detection).

  • Model explainability, accuracy, and traceability.

  • Deployment & Operations: Implement MLOps/GenAIOps practices, including CI/CD, monitoring, retraining, and governance frameworks.

  • Cost & Ownership: Prepare Bills of Materials, infrastructure sizing, and total cost of ownership models for both client and internal deployments.
  • Team Leadership: Mentor, coach, and manage a team of data scientists and engineers to deliver production-ready solutions.
  • Stakeholder Engagement: Clearly communicate technical solutions, align deliverables with business priorities, and drive client adoption.

What We Expect

  • Experience: years in Data Science/AI, with at least 3–4 years leading ML/GenAI solution delivery.

  • Technical Skills:

  • Strong expertise in Python, ML/AI frameworks, and LLM-based architectures.

  • Hands-on experience with cloud platforms (AWS, Azure, GCP).

  • Familiarity with vector databases, RAG pipelines, and scalable data architectures.

  • Business & Analytics: Solid foundation in BI tools, hypothesis testing, actionable insights, and making business-driven recommendations.

  • Delivery Track Record: Proven history of taking solutions from design deployment adoption.
  • Cost Estimation: Experience in infrastructure requirement analysis and ownership cost modeling.
  • Education: Degree in Statistics, Mathematics, Economics, Computer Science, AI/ML, Data Science, or an equivalent quantitative discipline.
  • Leadership & Soft Skills: Ambitious yet pragmatic leader with strong problem-solving, communication, and stakeholder management abilities.

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