Role & responsibilities
Investigate the feasibility of applying scientific principles and concepts to business problems. Develop current algorithms independently to solve well defined retail problems and improve existing algorithms.
Work with product team to implement recent 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.

Preferred candidate profile
Writes productive 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

📌 Data Scientist Bengaluru (India)
🏢 Quess IT Solutions
📍 India