Data Scientist II

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $112k - $179k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Toast

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

☁️ SaaS

🤝 B2B

SaaS • B2B • Hospitality

Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.

📋 Description

• 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

🎯 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 (e.g. regression/classification, clustering, offline/online model evaluation). • Experience with 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, 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.

🏖️ Benefits

• Learn more about our benefits at https://careers.toasttab.com/toast-benefits