Data Scientist

Quess IT Solutions

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

Quess IT Solutions in Bengaluru is seeking a Data Scientist to explore scientific principles for business problems, develop new algorithms, and implement production pipelines in a retail analytics context.

You will collaborate with Data Engineering, Advisory and Product teams to develop POCs and push innovations while ensuring timely delivery of scalable analytics solutions.

Qualifications

  • Writes efficient code in PySpark or Python.
  • Experience in writing production system code (modular code, OOP, tests).
  • Efficient data processing (vectorization, avoid row-wise ops).
  • Rudimentary knowledge of asymptotic algorithm analysis.
  • Fluency in SQL, relational database, and non-structured data handling (Images, text blob).
  • In-depth knowledge in ML with mathematical foundation for at least two modelling techniques (Regression, Classification, NLP, Recommender).
  • Exposure to GenAI systems and interest in advanced design thinking.
  • Exposure to cloud technology and model deployment (Azure/AWS/GCP) with docker/CI-CD concepts.
  • Retail Experience & Business Acumen desirable.

Responsibilities

  • Investigate the feasibility of applying scientific principles to business problems.
  • Develop new algorithms independently to solve well defined retail problems and improve existing ones.
  • 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 and popularize innovations in retail and analytics with stakeholders.
  • Collaborate with Data Engineering, Advisory and Product teams to identify areas of improvement and drive efficient processes.

Skills

PySpark
Python
Production code quality
SQL
Relational & unstructured data
Data processing optimization
ML foundations
Asymptotic analysis
GenAI exposure
Cloud deployment
Retail analytics

Tools

Azure
AWS
GCP

Job description

F2F INTERVIEW BASED ON THE SHORTLISTING
Job Title: Data Scientist
  • 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.
Who are we looking for?
  • Experience Required 3.5 to 6 Years
  • 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)
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