
Data Scientist II
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in United States.
• Utilize a wide range of expertise including data mining, statistical analysis, and machine learning to provide impactful, objective, and actionable data insights that facilitate informed business and product decisions.
• Work collaboratively with cross-functional teams, such as sales, marketing, and product, to uncover business opportunities and create data-driven solutions that promote growth and engagement.
• Collaborate with line of business teams and engage with product managers, engineers, and data scientists to support data-driven decision-making that leads to significant outcomes.
• Effectively convey analysis, insights, and recommendations to senior business partners through verbal, visual, and written communication.
• Excel in a fast-paced and constantly changing environment.
• Bachelor’s degree in computer science, engineering, mathematics, statistics, economics, or a related quantitative field; a Master’s degree is preferred.
• Over 2 years of experience in data science within an industry setting.
• Strong foundation in statistics and machine learning principles. Familiarity with machine learning concepts such as regression/classification, clustering, and offline/online model evaluation.
• Proficient in advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI.
• Experience with Python and SQL, as well as machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud solutions, preferably utilizing AWS tools (e.g., SageMaker, DynamoDB, Athena, Glue, etc.).
• Knowledge of model workflow orchestration tools (e.g., Airflow).
• Proven experience working alongside engineers, product managers, and other cross-functional teams.
• Exceptional verbal and written communication skills.
• Capability to present complex quantitative analyses clearly, precisely, and in an actionable format.
• Learn more about our benefits at https://careers.toasttab.com/toast-benefits
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