Senior Data Scientist

MegaNucleus; Gurugram District; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

MegaNucleus is seeking a Senior Data Scientist for a Hybrid role based in Gurgaon, India. You will develop and deploy AI solutions spanning ML and generative AI, including LLMs and multi-agent systems, while collaborating with cross‑functional teams to ensure production readiness and governance.

You will design and validate models, apply statistical experiments, and drive scale with MLOps practices across cloud platforms. Strong Python skills and a deep ML foundation are essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering.
• 6+ years of professional experience in data science or applied machine learning roles.
• Demonstrated experience delivering regression and/or classification models in production environments.
• Hands‑on experience building and deploying LLM-based or Generative AI applications.
• Hands‑on experience with agentic frameworks such as CrewAI, LangChain Agents, LangGraph or similar.
• Strong proficiency in Python and solid foundation in statistics and ML techniques.

Responsibilities

• Develop and deploy AI solutions across ML and other genAI use cases.
• Design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting and deep learning architectures.
• Develop and deploy LLM-based and Generative AI solutions, including retrieval augmented generation (RAG) and prompt engineering.
• Build multi-agent systems and tool-integrated AI solutions for analytics automation and conversational interfaces.
• Apply statistical analysis, hypothesis testing and experimental design to inform business decisions.
• Collaborate with cross-functional teams and ensure production readiness through monitoring and governance.

Skills

Python

LLMs

Multi-agent systems

MLOps

Statistics

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering

Tools

MLflow

CI/CD

AWS

Azure

GCP

Databricks

Job description

Our client is looking for a Senior Data Scientist. Our client is a market-leading, cloud-based CX benchmarking and operational improvement SaaS platform. This role is Hybrid, based out of Gurgaon (India).

Key Responsibilities

• Develop and deploy AI solutions across ML and other genAI use cases.
• Design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting and deep learning architectures where appropriate.
• Develop and deploy LLM-based and Generative AI solutions, including retrieval augmented generation (RAG), prompt engineering, fine-tuning and agentic workflows.
• Build multi-agent systems and tool-integrated AI solutions for analytics automation, insight generation and conversational interfaces.
• Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions.
• Collaborate with cross-functional teams
• Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.
• Analyze structured and unstructured datasets to generate actionable insights.
• Communicate analytical findings and technical concepts clearly to cross-functional stakeholders.
• Contribute to code reviews, best practices and continuous improvement of AI infrastructures.
• Independently manage projects in environments with evolving requirements and timelines.

Required Qualifications, Experience & Skills

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science,
• Statistics, Mathematics, Engineering, or a related quantitative field.

Experience:

• 6+ years of professional experience in data science or applied machine learning roles.
• Demonstrated experience delivering regression and/or classification models in production environments.
• Hands‑on experience building and deploying LLM-based or Generative AI applications.
• Hands‑on experience with agentic frameworks such as CrewAI, LangChain Agents, LangGraph or similar multi‑agent orchestration frameworks.

Skills

• Strong proficiency in Python
• Solid foundation in statistics, regression, classification and other classical ML techniques.
• Hands‑on experience with LLMs and Generative AI, including prompt engineering, RAG, fine‑tuning and evaluation.
• Experience building multi‑agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar.
• Familiarity with vector databases and embedding pipelines.
• Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).
• Strong problem‑solving and cross‑functional communication skills.