Senior Data Scientist

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. We focus on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

As the Senior Data Scientist in our Bangalore Data Science team, you will contribute to building machine learning algorithms using our huge reservoir of point of sale transaction data. You will work with architects, engineers and product managers to solve business and customer problems and turn machine learning models into business impact across product lines, including financial processing and fraud.

About this Roll*:

• Design, build, train and evaluate machine learning models to drive business value for Toast and our restaurant customers
• Collaborate closely with internal and external product stakeholders, both technical and non-technical and help translate deep machine learning knowledge to product applications
• Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them
• Work closely with Production Engineering and Data Platform teams to deploy models to production and regularly monitor for efficiency, key KPIs and enhance them as needed
• Work with incident response and problem resolution teams to check and resolve any problems/challenges as and when identified in the model deployed in the production   
• Effectively document all steps and manage code repositories for easy scalability and knowledge sharing with the the team
• Incorporate up-to-date ML technology and DS approach as best practice for the team
• Help in continuing to build out and expand the Data Science and ML Engineering teams
• Work effectively in a dynamic, changing environment while focusing on key goals and objectives

Do you have the right ingredients*?

• Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines

• 6 + years of industry experience in the field of Data Science and Machine Learning
• Experience in time series modelling. Familiarity with ARIMA, SARIMA, ETS, VAR models. Familiarity with forecasting tools like Facebook Prophet, GluonTS, or NeuralProphet.

• Strong proficiency in Python and SQL; experience with some of the following languages, tools, and frameworks: R, Spark, Scala, scikit-learn, Tensorflow, PyTorch, etc.
• Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration (Airflow, Luigi, etc.) and preferably AWS tooling (Sagemaker, DynamoDB, ECS, etc.)
• Strong knowledge of underlying mathematical foundations of statistics and machine learning
• Prior success deploying machine learning solutions in large-scale production environments
• Experience collaborating with cross-functional teams and stakeholders to evaluate new Machine Learning opportunities
• Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders

Bonus ingredients*:

• Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting