Data Scientist
Posted Updated
Description
- The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines
- 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
Benefits
- Peer and company recognition programs
- Unlimited Vacation
- Sabbatical opportunity after five years
- Professional Development Reimbursement Program
- Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
- Various peer and company recognition programs
- 401(k) and matching
- Medical, Dental, & Vision Coverage
- Mental Health Benefits
- Subsidized backup childcare
- Excellent verbal and written communication skills
- Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
- Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner
- Have solid statistical and machine learning foundations. Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation)
- Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience with model workflow orchestration tool (e.g. Airflow)
- 2+ years of data science experience in an industry environment
- Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI
- Experience collaborating with engineers, product managers, and other cross-functional teams
- Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred
- Experience working on LLM applications, including prompting, RAG, and evaluation
- Experience shipping machine learning systems in production environments
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration
- Experience in A/B testing and other experimentation methodologies for effective product launch measurement