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.)




- Productive 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)

📌 Data Scientist - Face To Face interview-WFO-Immediate-Bengaluru
🏢 Quess
📍 Bengaluru