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Homebased Data Scientist in Gurugram, India - Jobeax

Homebased Data Scientist in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.

NPS Prism Title: Data Scientist II (Work From Home)
NPS Prism is a market-leading, cloud-based SaaS business owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition.
We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
We are seeking a Data Scientist II with experience in both classical machine learning (regression, classification, predictive modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks).
The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments.
This position involves end-to-end ownership of data science initiatives, from problem framing and experimentation to deployment and monitoring.

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.
Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.
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:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Experience:

3+ 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.

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).

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