Data Scientist I

The team takes pride in deploying solutions that not only leverage state-of-the-art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimisation methods, and Bayesian modelling but also contribute to the research literature with multiple peer-reviewed research papers.

Responsibilities:

• Responsible for developing data science and machine learning models for Storefront, Supply Chain and other areas.
• Conversant with machine learning life cycles, model deployments, etc.
• Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as NLP, Computer Vision, and Optimisation.
• Collaborating with Product and Business to formulate the problem into a Machine Learning model.
• Connecting with Platforms and Engineering teams to make sure the predictive models built are deployed and integrated into the systems.
• Working with the Data Platforms teams to understand and collect the data.

Requirements:

• Knowledge of data structures, algorithms and efficient processing of large datasets.
• Well-versed in Python.
• Conversant with deep learning techniques and/or optimisation.
• Required/Needed: Publications.
• Experience in projects as part of their studies.
• 2-4 years of experience with an MTech, MS by Research or PhD in Computer Science/Electrical Engineering, or a postgraduate degree in Statistics, Operations Research, or Mathematics.

Skills

Computer Vision, Data Science, Deep Learning, Machine Learning, NLP, Optimization, Python