Toast Logo

Toast

Data Scientist II

Posted Yesterday
Remote
Hiring Remotely in US
97K-155K Annually
Mid level
Remote
Hiring Remotely in US
97K-155K Annually
Mid level
The Data Scientist II will develop statistical and machine learning models to enhance the Toast platform, collaborating with cross-functional teams to drive data-driven decisions and business growth.
The summary above was generated by AI

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.

Toast is revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.

Bready* to make a change?

The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines.

About this Roll* (Responsibilities):

  • 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 cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement.
  • Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts 
  • Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats
  • Thrive in a dynamic and rapidly evolving environment

Do you have the right ingredients* (Requirements)?

  • Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
  • 2+ years of data science experience in an industry environment.
  • Have solid statistical and machine learning foundations. Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation). 
  • Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI.
  • Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
  • Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
  • Experience with model workflow orchestration tool (e.g. Airflow)
  • Experience collaborating with engineers, product managers, and other cross-functional teams
  • Excellent verbal and written communication skills
  • Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner.

Special Sauce* (Nice to Haves): 

  • Experience working on LLM applications, including prompting, RAG, and evaluation.
  • Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration.
  • Experience shipping machine learning systems in production environments.
  • Experience in A/B testing and other experimentation methodologies for effective product launch measurement.

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

The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible).

Pay Range
$97,000$155,000 USD

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].

------

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.

Top Skills

Airflow
Athena
AWS
DynamoDB
Glue
Python
PyTorch
Sagemaker
Scikit-Learn
SQL
TensorFlow

Similar Jobs at Toast

11 Days Ago
Remote
US
113K-181K Annually
Mid level
113K-181K Annually
Mid level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Staff Data Analyst will support Operations leaders with analytics projects focusing on enterprise applications, optimizing systems, and providing data-driven insights.
Top Skills: NetSuitePythonRRevproSalesforceSQLZuora
12 Days Ago
Remote
USA
169K-270K Annually
Senior level
169K-270K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead the development of predictive models for credit risk and lending strategies. Collaborate with cross-functional teams and mentor junior data scientists.
Top Skills: AirflowAWSPythonPyTorchScalaScikit-LearnSparkSQLTensorFlowXgboost
3 Days Ago
Remote
US
188K-301K Annually
Senior level
188K-301K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Principal Software Engineer will lead the development of delivery architecture, mentor engineers, ensure scalability, and build partnerships across the business.
Top Skills: DynamoDBJavaKotlinScala

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account