Senior Data Scientist – Bangalore, India

Regional Business Development Manager

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, 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.

Desired Candidate Specifications:


  • Master degree/PhD in highly mathematical and/or computing and/or business domains
  • 4+ year(s) work experience
  • Course work in statistics, machine learning, data science, artificial intelligence


  • Extensive Data Science solutioning experience: taking business problem and fitting the Data
    Science theory and methods to solve it
  • Hands on experience playing around with big datasets, building models, putting them into
    production and creating business impact
  • Extensive experience on SQL and its flavours
  • In depth knowledge and experience of Python and R programming, Big data technologies and
    cloud concept
  • Must have executed numerous high business impact Machine Learning / Data Science
    assignments in a corporate setting and building the infrastructure of systems to productionize
  • Understanding of parallel processing in training models and executing data analysis projects in
    Python and R programming
  • High proficiency with ML techniques and the mathematics behind them: Linear Regression,
    Logistic Regression, Random Forest, Decision Trees, Gradient Boosting Methods, Neural
    Networks, Deep Learning, Time series algorithms, Clustering
  • Knowledge of advanced statistical techniques and concepts (regression, properties of
    distributions, statistical tests, and proper usage, etc.) and experience with applications
  • High proficiency with Python libraries: Pandas, SciPy, SKLearn, Numpy, Tensorflow, Keras,
  • Ability to understand research papers and take ideas presented in them and adopt to solve
    problems at hand

Desired Behaviors:

  • Able to logically breakdown problems into incremental milestones
  • Identify bottlenecks and work around them.
  • Highly curious, self-starter and can work with minimum supervision and guidance.
  • Excellent written & oral communication and inter-personal skills, with high degree of comfort
    working in teams.
  • Prior work experience in consumer businesses, such as retail, travel, and hospitality preferred

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