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
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