Senior Data Scientist

Job Title: Senior Data Scientist (Data Science / Generative AI)

Experience Level:

Location: Bangalore, Hyderabad, Pune, Kolkata, Gurugram, Chennai

About the Role:

Senior Data Scientist

Generative AI

Key Responsibilities:

Core Data Science Responsibilities:

• Design, develop, and implement

  machine learning

  and

  statistical models

  for

  forecasting

  ,

  pricing

  ,

  inventory optimization

  , and

  business performance analytics

  .
• Apply

  time series

  ,

  regression

  , and

  causal inference

  techniques (e.g., ARIMA, Prophet, LSTM, Causal Impact) to model business outcomes.
• Build and maintain

  price elasticity

  and

  optimization

  models to drive strategic pricing decisions.
• Conduct

  data exploration

  ,

  feature engineering

  , and

  model validation

  using large-scale structured and unstructured datasets.
• Write efficient

  Python

  and

  SQL

  code for data extraction, transformation, modeling, and automation.
• Partner with cross-functional teams (Product, Engineering, Finance, Marketing) to translate business challenges into scalable analytical solutions.
• Communicate results effectively through reports, visualizations, and presentations to senior stakeholders.

Generative AI Focus:

• Develop applications using

  Generative AI

  and

  Large Language Models (LLMs)

  for tasks such as automation, summarization, and content generation.
• Fine-tune and deploy

  LLMs

  (e.g., GPT, LLaMA, Claude, Falcon) for enterprise use cases.
• Implement

  prompt engineering

  ,

  embedding-based retrieval

  , and

  vector database

  solutions for AI-driven workflows.
• Work closely with ML Ops and engineering teams to integrate

  GenAI

  capabilities into production systems.
• Stay current with the latest research and tools in

  Generative AI

  ,

  multimodal learning

  , and

  AI deployment

  best practices.

Required Skills & Qualifications:

• Bachelors or Masters degree

  in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative discipline.

• 57 years

  of hands-on experience in

  data science

  ,

  machine learning

  , or

  advanced analytics

  .
• Strong programming skills in

  Python

  (pandas, NumPy, scikit-learn, statsmodels, TensorFlow/PyTorch).
• Advanced proficiency in

  SQL

  and experience handling large, complex datasets.
• Expertise in

  statistical modeling

  ,

  hypothesis testing

  ,

  causal inference

  , and

  forecasting methods

  .
• Proven experience in

  pricing

  ,

  demand forecasting

  , or

  optimization modeling

  .
• Strong communication and storytelling skills to translate analytical results into actionable insights.