Data Scientist

Job Title: Senior Data Scientist (2.5 Years)

Reporting to: Lead Data Scientist

Location: Bangalore (India)
Mode of Work: 5 days in office.

Role:

 Investigate the feasibility of applying scientific principles and concepts to
business problems.
 Develop new algorithms independently to solve well defined retail problems and
improve existing algorithms.
 Work with product team to implement new modules, maintain and release
production pipelines in timely and responsible manner.
 Develop POCs based on new ideas or technology, popularize new innovations in
retail and analytics with internal/external stakeholders.
 Collaborate with Data Engineering, Advisory and Product team to find scope of
improvement and drive right processes.

Requirements
Who are we looking for:

Writes efficient code in PySpark or Python

Experience in writing production system code (Modular code build, OOP framework, test cases, exception handling etc.)
Efficient data processing (vectorization, avoiding row-wise ops etc.)Rudimentary knowledge of asymptotic algorithm analysis
Fluency in SQL, relational database, and non-structured data handling (Images, text blob)
In-depth knowledge in machine learning with mathematical foundation for any two of the following modelling techniques: Regression (classical; DL is a plus), Classification (classical & DL), Text Mining/ NLP & Recommender Systems

Good to Have:
Exposure to GenAI systems (LLMs, RAG, or Agentic workflows) and interest in designing beyond basic use case (Situational and case-basis design thinking)
Exposure in cloud technology and model deployment (Azure/ AWS/ GCP) – theoretical background with foundational concepts of docker, CI-CD etc., works.- Retail Experience & Business Acumen (Even if its 30-50% of overall experience – at least one retail project)