Data Scientist - Face To Face interview -Immediate-Bengaluru

Quess IT Solutions; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Quess IT Solutions in Bengaluru is seeking a Data Scientist with 2.5 to 4.5 years of experience to tackle retail analytics challenges. You will explore scientific approaches to business problems, develop algorithms, and implement production pipelines in collaboration with product and data engineering teams.

The role emphasizes building POCs, meaningful data processing, and applying ML techniques such as regression, classification, NLP, and recommender systems to real-world retail scenarios.

Qualifications

• 2.5+ years of PySpark/Python experience.
• Production system code: modular design, OOP, tests, error handling.

Responsibilities

• Investigate feasibility of applying scientific principles to business problems.
• Develop new algorithms to solve defined retail problems.
• Collaborate with product team to implement modules and production pipelines.

Skills

PySpark

Python

Production code

Data processing

SQL

ML techniques

Recommender systems

Text mining / NLP

Tools

Docker

CI/CD

Job description

Job Title:DataScientist(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 withDataEngineering, Advisory and Product team to find scope of improvementand drive right processes.
  

Who are we looking for?

• Writes efficient code inPySpark or Python (At least 3+ years):
• Experience in writing production system code (Modular code build, OOP framework, test cases,exception handling etc.)
• Efficientdataprocessing (vectorization, avoiding row-wise ops etc.)
• Rudimentary knowledge of asymptotic algorithm analysis
• Fluencyin SQL, relationaldatabase, and non-structureddatahandling(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)