Senior Data Scientist

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Bengaluru, Bengaluru Urban, Karnataka
In-Office
Cloud • Fintech • Food • Information Technology • Software • Hospitality
We empower the restaurant community to delight guests, do what they love, and thrive.
The Role
Senior Data Scientist - S&A

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


Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].

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For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What the Team is Saying

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The Company
HQ: Boston, MA
5,000 Employees
Year Founded: 2011

What We Do

Toast is the all-in-one platform built for restaurants of all sizes. Toast provides a single platform of software as a service (SaaS) products and financial technology solutions that give restaurants everything they need to run their business, including point of sale, payments, supplier management, digital ordering and delivery, marketing and loyalty, and team management. By serving as the restaurant operating system across dine-in, takeout, and delivery channels, Toast helps restaurants increase revenue, streamline operations and deliver amazing guest experiences.

Why Work With Us

Our recipe for an awesome workplace:

One splash of friendship
A dollop of impact
A sprinkle of no hierarchy &
A heavy spoonful of individuality

Mix these ingredients in a fast-paced and hardworking environment. Best paired with a side of interesting people who always bring their whole selves to work.

*100% Sunday scary free

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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