Data Scientist - Face To Face interview-WFO-Immediate-Bengaluru

Job Title: Data Scientist (2.5 Years -4.5 Years )

Job Loc: 77 Town Center, 3, Yemalur, Bengaluru, Karnataka

Mode of Work: 5 days work from office)

Interview Process (F2F Involved):

• Round : FacetoFace (F2F) Interview

Job 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 pipelinesin timely and responsible manner.
• Develop POCs based on new ideas or technology, popularize new innovations in retail andanalytics with internal/external stakeholders.
• Collaborate with Data Engineering, Advisory and Product team to find scope of improvementand drive right processes.
  

Who are we looking for?

• Writes efficient code in PySpark or Python (At least 3+ years):
• 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 thefollowing 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 beyondbasic use case (Situational and case-basis design thinking)
• Exposure in cloud technology and model deployment (Azure/ AWS/ GCP)  theoreticalbackground 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)