Data Scientist II
We’re not your traditional tech company. We recognize that talented people often come from outside the tech space. No matter what your background is, there’s a place for you at Toast. We’ve 86’d the conventional workplace for one where people can truly bring their full selves to work. Together, we empower restaurants of all sizes to build great teams, increase revenue, improve operations, and delight their guests. We pair our deep understanding of the restaurant industry with powerful cloud based software and restaurant-grade hardware to deliver an intuitive all-in-one platform. Join us in our mission to empower the restaurant community to delight guests, do what they love, and thrive.
Bready* to make a change?
As a data scientist, you will partner across the R&D org and be a critical contributor to the machine learning algorithms using our huge reservoir of restaurant menu data. You will help build product offerings across the Toast platform such as a universal menu record and a consumer recommendation engine.
About this Roll*:
- Build machine learning and big data algorithms to create and improve Toast products
- Build proprietary big data models to drive business value for both Toast and our restaurant customers
- Collaborate closely with fellow data scientists, product, engineering, and others within the organization to build our restaurant technology platform
- Work effectively in a dynamic, changing environment while focusing on key goals and objectives
- Ability to effectively work with business and data science leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Do you have the right ingredients*?
- 2+ years of relevant experience applying machine learning techniques, mining data with query languages, and coding using open source packages
- Solid understanding of statistics and different machine learning algorithms and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised and semi-supervised algorithms, etc.)
- 1+ years of experience with iterative prototyping, scaling, deployment and maintenance of various machine learning model types
- Strong communication skills to clearly understand the problems of stakeholders in different departments as well as collaborate with other data scientists
- Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
Preferred qualifications
- Bachelor's or Master’s degree; 3+ years of experience in a Data Science, Machine Learning, Software Engineering or similar position
- 2+ years experience building and deploying progressively complex and scalable machine learning models in production environments
- Experience with Python and SQL; knowledge of some of the following languages, tools, and frameworks: R, Spark, Scala, Java, Scikit-learn, etc.
- Exposure to software engineering best practices and tools including object-oriented programming, test-driven development, git, shell scripting, and AWS stack (Sagemaker, Lambda, Glue, etc.)
- Experience with advanced machine learning methods, particularly in natural language processing applications; such as supervised/unsupervised learning, graph algorithms, deep learning, recommendation systems, etc.
- Experience turning research projects into consumer products
*Bread puns encouraged but not required