Staff Data Scientist

Toast
United States
Remote

Who this role is best for

Aimed at mid-level data scientists with 7+ years of production ML experience who thrive in remote settings and enjoy mentoring others.

Best fit for

  • Experienced ML practitioners who have shipped production systems and can mentor junior team members.
    — “7+ years of experience in data science with a proven track record of delivering production ML systems
  • Technical leaders comfortable setting architectural standards and influencing cross-functional roadmaps.
    — “Guide architectural decisions, set modeling standards, and champion best practices
  • Candidates with strong business acumen who can align ML solutions with company goals.
    — “Strong business acumen with the ability to align technical solutions with company goals

Things to consider

  • Requires hands-on experience with AWS tools like SageMaker and DynamoDB.
    — “Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker
  • Must have prior experience mentoring other data scientists or acting as a tech lead.
    — “Prior experience mentoring other data scientists or acting as a tech lead

How to stand out

  • Showcase specific examples where your ML models drove measurable business impact.
    — “delivering production ML systems that drive measurable impact
  • Highlight experience with LLMs in production, as this is a key requirement.
    — “Experience building services on top of LLMs in a large scale production environment
  • Demonstrate your ability to translate ambiguous problems into well-scoped ML solutions.
    — “translating ambiguous problems into well-scoped ML solutions
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deliver-production-ml-systems
  • mentor-other-data-scientists
  • lead-cross-functional-efforts
  • enhance-customer-experience
Typical background
7+ years of experience in data scienceproven track record of delivering production ML systemsdeep knowledge of statistical modeling and machine learning

Skills & requirements

Required

Machine-learningStatistical-modelingDistributed-data-processingCloud-platformsPythonSQLSoftware-engineering-principlesCommunication-skillsBusiness-acumen

Preferred

Advanced-degree-in-computer-science-or-related-fieldMlops-toolingLlm-fine-tuningReinforcement-learning-from-human-feedback

Stack & domain

PythonSQLscikit-learnPyTorchTensorFlowAWSSagemakerAthenaGlueDynamodbBedrockLeadershipCommunicationProblem-solvingCollaborationMachine LearningData ScienceStatistical ModelingCloud Platforms

About the role

Original posting from Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale.

A day in the life (Responsibilities)

Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.

Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.

Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.

Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.

Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.

Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.

Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.

Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.

Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.

Experience with distributed data processing and training, real-time inference, and ML Ops frameworks

Prior experience mentoring other data scientists or acting as a tech lead.

Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems.

Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).

Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.

Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.

Excellent communication skills and the ability to influence both technical and non-technical stakeholders.

Strong business acumen with the ability to align technical solutions with company goals.

Experience building services on top of LLMs in a large scale production environment.

Bonus ingredients*:

An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.

Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.

Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 

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.

#LI-Remote

The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.

Zone A$170,000—$272,000 USDZone B$148,000—$237,000 USDZone C$133,000—$213,000 USDHow Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid Working

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 hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

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 candidateaccommodations@toasttab.com.

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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.

Source: Toast careers

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