Role & responsibilities
- 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 recent 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 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

Thanks& Regards,

Nelson Mandela

[email protected]

📌 Data Scientist (Bengaluru)
🏢 Quess
📍 Bengaluru