Staff Data Scientist, Toast
$143-229k
Offers bonus/commissions if eligible, equity
Point of sale and management system for restaurants
Open for applications
Point of sale and management system for restaurants
1001+ employees
Open for applications
$143-229k
Offers bonus/commissions if eligible, equity
1001+ employees
Company mission
Toast's mission is to enrich the food experience for all.
Role
Who you are
- Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline
- 7-10 years of data science, machine learning and NLP experience
- Proficiency in machine learning, AI, and statistical modeling techniques (e.g. regression , with a strong track record of developing and deploying successful predictive models in a scalable production setting
- Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc
- Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
- Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling
- Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders
- Strong leadership skills, with experience mentoring and guiding junior data scientists
Desirable
- Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
- Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders
- Experience with LLM and building GenAI applications in production is a plus
What the job involves
- Toast is looking for a Staff Data Scientist to bring data science capabilities into the Toast platform. You will work with engineers and product managers to build statistical and machine learning models for product lines, such as sales recommendation and Toast product package recommendation
- Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Collaborate with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts
- Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed
- Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization
- Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the AI Engineering team
- Stay current with the latest trends and developments in data science and AI, continually exploring new methods and technologies to enhance the organization's capabilities
- Thrive in a dynamic and rapidly evolving environment
Our take
Running a restaurant means managing a stressful set of elements, all needing to work together seamlessly to create a good experience for diners. Toast helps to streamline processes, and puts an end to piles of paperwork, by providing a platform whereby tableside ordering, menu modifications, labour management, payroll, and more are all housed in one system that can run from a tablet.
Toast offers restaurant-grade hardware and cloud-based customisable payment solutions to serve clients from startup through to growth phase, as well as a service for established restaurants. By combining all the digital services a restaurant might need, the platform can act as the one and comprehensive solution for restaurants of any size, avoiding restaurateurs having to invest in a range of technologies.
Toast has over 70,000 restaurants on its books, from food trucks to national brands, and its mobile ordering and payment solutions have made it a recognized brand for consumers. The company's IPO in 2021 saw it valued at over $30 billion and since then, it has added more features to its product suite including wholesale and catering order tools. Toast then, has proven its place as an indispensable player in the restaurant space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
28% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2020
$400m
SERIES F
Apr 2019
$250m
SERIES E
Total funding: $899m
Company benefits
- Peer and company recognition programs
- Unlimited Vacation
- Sabbatical opportunity after five years
- Professional Development Reimbursement Program
- Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
- Various peer and company recognition programs
- 401(k) and matching
- Medical, Dental, & Vision Coverage
- Mental Health Benefits
- Subsidized backup childcare
Company HQ
Fenway–Kenmore, Boston, MA
Leadership
Steve Fredette
(President)They studied at MIT before co-founding Klick Mobile in 2009 and spending almost 7 years at Endeca. They left their Management role in June 2012 having co-founded Toast in May.
Aman Narang
(CEO)Having studied Computer Science at MIT, they worked at Endeca for 5 years. They moved from working as Product Manager to work full-time as President of Toast in 2013, having co-founded it the previous year.
Jonathan Grimm
(CTO)They also studied Computer Science at MIT before working as an Engineer for Endeca for over 4 years. They worked at Oracle for 5 months prior to co-founding Toast in May 2012.
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