Data Scientist II

Toast

. Apply data mining, statistical analysis, and machine learning to deliver impactful, objective, and actionable insights .

Posted 10/28/2026full-timeUnited StatesJuniorMid-Level💰 $87,000 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data mining, statistical analysis, and machine learning to derive actionable insights and drive business growth. Proficient in collaborating with cross-functional teams and communicating complex analyses effectively to stakeholders.

Highest-signal resume keywords

Data Science ExperienceStatistical AnalysisMachine Learning FoundationsPython ProgrammingCloud Solutions (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningStatistical AnalysisMachine LearningRegression/ClassificationClusteringSupervised LearningUnsupervised LearningDeep LearningGraph AlgorithmsModel Evaluation

Soft Skills

Excellent Communication SkillsCollaborationAnalytical Thinking

Tools & Technologies

PythonSQLScikit-LearnTensorFlowPyTorchAWS SageMakerDynamoDBAthenaGlueAirflow

Industry Keywords

Data-Driven SolutionsBusiness OpportunitiesProduct LinesNLPRecommendation SystemsGenerative AIA/B TestingExperimentation Methodologies

Tech Stack

Tools & technologies

AirflowAWSCloudDynamoDBPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Apply data mining, statistical analysis, and machine learning to deliver impactful, objective, and actionable insights
Collaborate with sales, marketing, product, line-of-business teams, engineers, product managers, and data scientists
Identify business opportunities and develop data-driven solutions that drive growth and engagement
Embed data science capabilities into the Toast platform
Develop statistical and machine learning models powering key product lines
Communicate analysis, insights, and recommendations to high-level business partners in verbal, visual, and written formats
Foster data-driven business and product decisions

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, math, statistics, economics, or another quantitative discipline; master's preferred
2+ years of data science experience in an industry environment
Solid statistical and machine learning foundations
Familiarity with regression/classification, clustering, and offline/online model evaluation
Experience with supervised and unsupervised learning, graph algorithms, deep learning such as NLP, recommendation systems, and generative AI
Experience with Python, SQL, and ML frameworks such as scikit-learn, TensorFlow, and PyTorch
Experience with cloud solutions, preferably AWS tools such as SageMaker, DynamoDB, Athena, and Glue
Experience with model workflow orchestration tools such as Airflow
Experience collaborating with engineers, product managers, and cross-functional teams
Excellent verbal and written communication skills
Ability to communicate sophisticated quantitative analysis clearly, precisely, and actionably
Experience with LLM applications, prompting, RAG, and evaluation is a nice-to-have
Experience with software engineering best practices and tools, production ML systems, A/B testing, and experimentation methodologies is a nice-to-have

Benefits

Comp & perks

Competitive compensation and benefits programs
Cash compensation, including overtime and bonus/commissions if eligible
Equity
Flexible benefits supporting a healthy lifestyle and changing needs
Hybrid work model valuing individual needs
Reasonable accommodations for persons with disabilities during the hiring process