Brief Description of position:

Data Scientist, Bangalore

 

COMPANY PROFILE

TabSquare is a pioneer in AI-Powered 'Smart' In-Restaurant solutions for the F&B industry. We leverage rich consumer data and deep learning algorithms to provide an engaging dining experience for restaurants’ diners and help double restaurant's profitability. TabSquare’s solutions currently collect over 30 million customer interaction data points on a monthly basis. With a unique data-driven approach to restaurant management and customer engagement, TabSquare helps partner restaurants drive higher sales, streamline operations and provide a better customer experience. As the Market Leader in Singapore with clients across Australia, Malaysia, Indonesia, as well as Thailand, we are constantly looking at ways to take the dine-in experience to the next level.

TabSquare is backed by strategic investors such as Kakaku.com, Coca-Cola Amatil, Resorts World Inc., Walden International, SG Innovate, Infocomm Investments (IMDA), Phillip Private Equity, Calcutta Angels, Get2Volume Accelerator as well as Ivan Lee from Raging Bull. With over 6000 active terminals in the region, TabSquare is serving over 12 million diners annually. Clients include well-known F&B brands such as Minor Food Group, Sushi Tei, Paradise Food Group, Japan Foods Holding, Zingrill Holdings, Chili’s, Strike Bowling Bar, Old Town White Coffee, and PappaRich. 

JOB DESCRIPTION

Fueled by one of the largest data sets of its kind in the region, the Data team at TabSquare is working on some of the most challenging and fascinating technology problems available right now in the restaurant industry. From personalizing the dining experience for restaurant diners by analyzing their past behaviors & interactions, to predicting restaurant occupancy based on weather and traffic conditions – we are using big data to help change the way millions of people will dine at the restaurants. 

Taking this ahead, we are looking to revolutionize the in-restaurant diner experience by personalizing the customer experience both inside and outside the restaurant. We believe in creating memories that will last forever. We want to help restaurants develop personal connections with their diners and provide them with experiences that they will cherish forever and will keep them coming back.  

This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of the restaurant industry. Join us and let’s redefine customer loyalty and retention together!

WHAT WILL YOU DO 

You will work with internal teams to support and contribute to the Restaurant of the future “Restaurants 2.0” vision for the company. Your focus will be to research, prototype and build scalable applications in area of personalization during dinning/ordering, personalization of offers, measurement sciences, optimization and demand forecasting. 

You will be on top of the development of machine learning models/predictive analytics techniques that optimizes Restaurant operations processes and reinventing customer engagement methods. In addition, you will have an opportunity on working through big data problem from data mining, data cleaning, building concept of the model to support decision making through various data analytic techniques and algorithm development involving unstructured and structured data. You will perform research on smart restaurant concepts and customer facing applications. You will be involved in technical planning, execution and delivery of development projects for global industry members. You will write technical reports and present technical results to internal teams and industry at large.

WHAT WE NEED

• Ph.D. or Master’s in computer science, Electrical / Computer Engineering 
• Operations Research, Industrial Engineering or Mathematics / Statistics 
• 2- 3 years of relevant working experience 
• Proficient in RDBMS such as PostgresQL or MySQL.
• Expertise in Python along with expertise in (either one or both) Tensorflow/Pytorch.
• Practical experience in creating large scale recommender systems would be a huge plus (but is not a mandatory requirement)
• Experience in training Transformers from scratch would be a huge plus (but is not mandatory requirement).
• Prior experience of working with Variational Autoencoders would be a huge plus (but is not a mandatory requirement)
• Deep understanding of statistical and predictive modelling concepts
• Strong understanding of the practical applications of machine-learning approaches around supervised and unsupervised learning tasks. 
• Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce.
• Familiar with noSQL, postGIS, stream processing and distributed computing platforms 
• Working knowledge of Big Data technologies such as Hadoop, MPP Databases, or stream processing techniques. 
• Experience working independently and, in a team, 
• Self-motivated, independent learner, and willing to share knowledge with team members 
• Detail-oriented and efficient time manager in a dynamic and fast-paced working environment

the CTC for this position is between 12-14 lakhs per annum based on the years of the experience and the performance of the candidate.

Location

Bangalore