Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
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. Our focus is 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 sales and 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.
About this Roll*: (Responsibilities)
- Partner with product managers, engineers, and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysis
- Design and analyze A/B experiments to evaluate the impact of changes we make to the product
- Apply a diverse set of tactics such as statistics, quantitative reasoning, machine learning and Deeplearning to research and produce insights
- 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
- Use Spark/PySpark daily to develop data pipelines, write complex queries, and perform analysis
- Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
- Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
- Develop, debug, and improve data models. Our product moves fast and new data doesn’t always fit in existing models/data distributions. Think about ingesting and storing data in the most useful and scalable format.
- Define KPIs, build ETLs, construct dashboards and other tools for you and other stakeholders
Do you have the right ingredients*? (Requirements)
- Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines
- 3 + years of industry experience in the field of Data Science and Machine Learning
- 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
- Deep experience in one or more of the following areas: natural language processing, recommender systems, and deep learning
- Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
- Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypes
Nice to have:
- Experience working on product & platform initiatives focused on measuring platform success
Our Spread* of Total Rewards
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
*Bread puns encouraged but not required
