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Data Scientist II

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.

We are 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?

Toast is looking for a 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 menu recommendation and Toast product package recommendation. 

 

About this Roll*:

  • 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*?

  • 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 standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and GenAI. Experience with advanced machine learning methods, such as supervised/unsupervised learning, graph algorithms, deep learning, recommendation systems, etc.
  • 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.



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

#LI-Remote

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), equity, and benefits.
Pay Range
$95,000$152,000 CAD

 

We are Toasters

Diversity, Equity, and Inclusion is Baked into our Recipe for Success.

At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.

The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.

Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.

Bready* to make a change? 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 candidateaccommodations@toasttab.com.

Average salary estimate

$123500 / YEARLY (est.)
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$95000K
$152000K

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What You Should Know About Data Scientist II, Toast

Are you passionate about harnessing the power of data to transform the restaurant industry? Toast is on a mission to revolutionize the way restaurants operate, and we need a talented Data Scientist II to join our innovative team! In this exciting remote position, you will collaborate with engineers and product managers to integrate cutting-edge statistical and machine learning models into our platform. Your work will directly influence features like menu recommendations and product package suggestions, empowering our restaurant partners to provide exceptional guest experiences. At Toast, we believe in leveraging data insights to drive growth, and as a Data Scientist II, your expertise in data mining, statistical analysis, and machine learning will play a critical role in achieving that mission. You'll engage with various teams across the organization, identify business opportunities, and develop actionable solutions. If you’re ready to thrive in a fast-paced and rapidly evolving environment, this is the perfect opportunity for you. We value collaboration and communication, so a strong ability to present your insights clearly to high-level business partners is essential. With a foundation in statistics and machine learning, and experience in tools like Python, SQL, and AWS, you’ll hit the ground running. So, if you're 'Bready' to make a significant impact in the restaurant tech landscape, apply now and become part of our success story!

Frequently Asked Questions (FAQs) for Data Scientist II Role at Toast
What are the main responsibilities of the Data Scientist II at Toast?

The Data Scientist II at Toast will utilize a range of expertise, including data mining and machine learning, to deliver impactful insights that inform business decisions. You’ll collaborate with cross-functional teams including sales, marketing, and engineering to develop data-driven solutions that enhance growth and engagement for our restaurant partners.

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What qualifications are required for the Data Scientist II position at Toast?

To apply for the Data Scientist II position at Toast, candidates should possess a Bachelor’s degree in a quantitative discipline, with a Master’s preferred. Additionally, 2+ years of experience in data science is necessary, along with proficiency in statistical and machine learning methodologies, Python, SQL, and familiarity with cloud solutions like AWS.

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What programming languages and tools should a Data Scientist II at Toast be familiar with?

A Data Scientist II at Toast should be proficient in Python and SQL, as well as machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch. Experience with cloud solutions—particularly AWS tools such as SageMaker and DynamoDB—and model workflow orchestration tools like Airflow is also highly valuable.

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How does Toast promote diversity and inclusion in the workplace?

At Toast, diversity, equity, and inclusion are fundamental to our success. We embrace the diverse backgrounds and perspectives of our employees and are committed to creating an inclusive environment. This is reflected in our hiring practices and in our approach to fostering a collaborative workplace.

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What is the salary range for the Data Scientist II role at Toast?

The base salary range for the Data Scientist II role at Toast is CAD $95,000 to $152,000, depending on skills and experience. This competitive compensation package also includes cash compensation components, equity, benefits, and opportunities for professional growth.

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Common Interview Questions for Data Scientist II
Can you describe a data science project you worked on and its impact?

When answering this question, focus on a specific project that showcases your data science skills. Explain the problem you were addressing, the methodologies you used, and how your insights led to actionable results. Be sure to quantify the impact where possible, such as percentage improvements or increased revenues.

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How do you handle missing or inconsistent data?

During the interview, explain your approach to data cleansing. Discuss techniques such as imputation, removal of missing values, and how you assess the impact of such decisions on the overall dataset. Show your understanding of the importance of data integrity in analysis.

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What machine learning models are you most comfortable with?

In your response, mention specific models you have used (like regression, decision trees, etc.) and their applications. Offer examples of projects where you implemented these models and the results achieved. Highlight your ability to choose the right model based on the data and problem context.

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How do you communicate complex data insights to non-technical stakeholders?

Discuss strategies you use to simplify complex analysis, such as using visualizations or straightforward language. Emphasize the importance of tailoring your communication style to your audience and using storytelling to make data relatable and actionable.

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What tools do you use for data analysis and why?

When addressing this question, mention tools like Python, R, SQL, and any relevant BI tools. Explain why you prefer these tools based on their capabilities, ease of use, and how they facilitate effective data analysis and visualization.

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Describe your experience with model evaluation.

Your response should include information about techniques you use, such as cross-validation, confusion matrices, or ROC curves. Explain how you determine the effectiveness of a model and what metrics you consider most important for various types of models.

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What is your experience with cloud environments, specifically AWS?

Focus on any projects you've worked on that involved AWS, mentioning specific services like SageMaker or DynamoDB. Explain how these tools facilitated your data science work and your familiarity with deploying models in a cloud environment.

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How do you stay updated with advancements in data science?

Discuss your strategies for continuous learning, such as following industry leaders, participating in webinars, and taking online courses. Mention any specific resources or communities you engage with to stay informed about new tools and methodologies in data science.

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What challenges have you faced in a data science project and how did you overcome them?

Illustrate a specific challenge you encountered, such as data quality issues or technical limitations. Discuss the steps you took to resolve the issue, your thought process, and the lessons you learned that improved your future projects.

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Why are you interested in working at Toast?

Highlight your passion for the restaurant industry and how you align with Toast’s mission to empower restaurants. Discuss specific aspects of the company culture or innovations that excite you and how your skills as a Data Scientist II can contribute to their goals.

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Full-time, remote
DATE POSTED
January 10, 2025

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