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Tech Stack
Tools & technologiesAirflowAWSCloudDynamoDBPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Learn more about our benefits at https://careers.toasttab.com/toast-benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data MiningStatistical AnalysisMachine LearningRegressionClassificationClusteringDeep LearningNLPRecommendation SystemsGenerative AI
Soft Skills
Verbal CommunicationWritten CommunicationCollaboration
