Data Scientist II

Summary

Join Toast, a company revolutionizing the restaurant industry with its technology platform, as a Data Scientist. You will leverage data mining, statistical analysis, and machine learning to create impactful data insights. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Partner with various teams to foster data-driven decisions. Effectively communicate your findings to business partners. This role requires a dynamic and adaptable individual. The position offers a competitive compensation and benefits package, including a base salary range of $95,000-$152,000 CAD.

Requirements

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline
• 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 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

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

Preferred Qualifications

• Masters in computer science, engineering, math, statistics, economics, or other quantitative discipline
• Experience with advanced machine learning methods, such as supervised/unsupervised learning, graph algorithms, deep learning, recommendation systems, etc

Benefits

• Competitive compensation and benefits programs
• Cash compensation (overtime, bonus/commissions if eligible)
• Equity