Senior Data Scientist - Machine Learning - Retail/Hospitality Conglomerate

Senior Data Scientist

We have an immediate and a very exciting opportunity from one of our clients in India. Our client is a one of the largest Retail and Hospitality conglomerates in the Middle East, Africa and India. Currently the Group employs 55,000 employees, operates over 2,300 outlets, encompassing over 30 million square feet across 22 countries.

Position : Senior Data Scientist

Location : Bangalore

Who are we looking for :

- Master's degree in Computer Science, Mathematics, Statistics, Econometrics or Physics

- At least 5+ years of experience in a Data Science related field

- Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems

- Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet

- Excellent programming skills preferably in Python and SQL

- Previous experience with Azure, Spark, and git

- Basic understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.)

- Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions

- Exposure to data visualization software and packages (Prower BI, matplotlib, d3, highcharts)

- Understands challenges in business area, applicability of relevant data science disciplines, and system interactions

- Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail

- Strong sense of urgency and commitments

- Open to travel on need basis (upto to 20%)

Your Key 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