Data Scientist

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 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 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