About the role
Bevi is on a mission to disrupt the beverage supply chain and replace single-use water bottles with smart water machines. Thousands of companies use Bevi to sustainably provide their employees with pure, sparkling, and flavored water at work. As the market leader in IoT-enabled beverage machines, we've raised over $160M in venture capital and we have grown tremendously each year since launch. In addition to maintaining hypergrowth with our current product line, Bevi is heavily investing in new product development.
We are seeking a Data Science Co-Op to join our team. This role will be a part of the Business Intelligence team and will aid in the development and improvement of Bevi's organizational data models, positioning the company for rapid scalability and enabling data-driven decisions across all business units. The purpose of this role is to help build automations that transform raw data from our enterprise systems into business ready data models and build Data Science and BI solutions on top of the clean data to provide actionable insights to the users.
What you will do:
Build SQL models to clean and store raw data into Snowflake from NetSuite, Salesforce and other systems
Develop predictive and pattern recognition capabilities on existing data such as IoT, services, Customer Support, Sales etc.
Develop end-to-end analytics and automation solutions. Includes ideation, requirements gathering, solution design, data cleansing, analysis and publishing results
Develop and maintain LookML models and Looker dashboards for business users
Answer/solve business questions through data and integrate data models, insights and analysis with business decision making
What Projects you will work on:
Support and Update LLM based internal Q&A Chatbot
Design and develop ML models for product usage and sales
Develop advanced analytics in partnership with Sales & Marketing teams
Contribute to Bevi's universal data dictionary
We think you will bring:
Working towards Master's degree in an analytically rigorous field (Data Science, Statistics, Computer Science, Industrial Engineering, Information Systems)
Write high-quality SQL queries to retrieve and analyze complex datasets
Intermediate fluency in Python, specifically developing forecasting/ML models
Experience using quantitative methods to evaluate product/system/service performance
Basic understanding of how an LLM functions and understanding of customization techniques like RAG, and fine tuning.
Demonstrated ability to communicate effectively across stakeholder groups
Experience working with Cloud infrastructure or PAAS solutions (Docker)
Experience working with data mining on large datasets ("big data")
Experience building dashboards in Looker or other relevant data visualization tools (Tableau, PowerBI, Grafana, etc.)
About the company
Bevi is on a mission to disrupt the beverage supply chain and replace single-use water bottles with smart water machines. Thousands of companies use Bevi to sustainably provide their employees with pure, sparkling, and flavored water at work. As the market leader in IoT-enabled beverage machines, we've raised over $160M in venture capital and we're doubling year over year. In addition to maintaining our current product line, Bevi is heavily investing in new product development.