Staff Data Scientist

Summary

Join Toast as a Staff Data Scientist and leverage data science to enhance the Toast platform. Collaborate with engineers and product managers to develop machine learning models for sales and product recommendations. Monitor model performance, identify areas for improvement, and implement data-driven refinements. Present data-driven insights to stakeholders and foster a data-driven culture. Mentor junior data scientists and stay updated on the latest data science trends. Thrive in a dynamic and fast-paced environment. The role offers a competitive salary and benefits package.

Requirements

• 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

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 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

Preferred Qualifications

• 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

Benefits

• 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
• In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits
• Pay Range$143,000 — $229,000 USD
• We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs