Data Scientist - Fintech/Business Services
Toast is a company where employees are empowered to come up with freshly baked ideas and tackle meaningful challenges. You probably already know us a little bit by now, but Toast is one of the most awarded and fastest growing startups in Boston. In 2017, to name a few, we won BostInno’s award for Emerging Company of the year, were named the 3rd fastest growing company in North America by Deloitte, and raised over $100m in funding from the likes of Google Ventures.
We have built a powerful and easy-to-use Android tablet-based point of sale platform for restaurants, helping them operate more efficiently and connect with their customer base in new and innovative ways. We live and breathe our customers’ challenges, which - in some cases – can smell like a freshly made croissant or a five-star prix fixe meal. Not a bad way to start your day!
As a data scientist, you will partner with product teams as a critical contributor to the development of new strategic fintech initiatives and derive actionable insights from our huge reservoir of customer data.
Responsibilities:
- Analyze customer business trend data to identify financial risk and forecast outcomes
- Optimize business operations and market pricing
- Build tools/dashboards to automate reporting and generate insights that will allow managers to quickly and accurately see how our products and processes are performing.
- Drive complex statistical modeling development, enhancement, and maintenance around all aspects of the business including financial, transactional, demographic and social data from our restaurant customers (billions of rows), and more
- Collaborate closely with designers, engineers, finance, marketing and other cross-functional team members within the organization to build our business services platform.
Requirements:
- 2-5+ years in Data Science/Business Intelligence/Data Analytics, or advanced degree in as quantitative field
- 2+ years using Python (Pandas, NumPy, scikit-learn), SAS, Stata, or R
- Experience with Machine Learning
- SQL and Excel expert
- Ability to efficiently analyze huge volumes of data and present concise and clear recommendations of results
- A highly quantitative problem solver who loves to dig into different kinds of data and can confidently and successfully communicate their findings to stakeholders in different departments
- Ability to work effectively in a dynamic, changing environment and to adapt while focusing on key goals and objectives
Bonus Skills:
- Familiarity with NetSuite, Salesforce, Linux, GitHub