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Data Scientist II
ICT
Company shared salary
NA
Market rate
8,333 CAD–12,500 CAD/mo (99,996 CAD–150,000 CAD/yr)
Based on similar roles (title + domain + location).
About the Company
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. Toast is 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.
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
- ● 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
Requirements
- ● 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 machine learning concepts, such as regression/classification, clustering, offline/online model evaluation
- ● Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning, recommendation systems, and generative AI
- ● Experience with Python and SQL, and ML frameworks, such as scikit-learn, Tensorflow, PyTorch
- ● Experience with cloud solutions, preferably with AWS tooling, such as SageMaker, DynamoDB, Athena, Glue, etc
- ● Experience with model workflow orchestration tool, such as 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
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