Senior Data Scientist

As a Senior Data Scientist at MarginEdge, you'll be researching, developing, and deploying innovative machine learning and statistical models that work to solve our most challenging problems. This role combines your deep technical expertise with creative problem-solving and collaboration skills. We value impact and are looking for people who are results driven and are open to exploring new and different approaches to solving problems. Our data scientists embed directly with the teams they serve, whether that's a product and engineering squad or our sales and marketing organization, and own their work end-to-end, from initial idea through deployment and operational models in our AWS infrastructure.

Some problems our team is currently working on

• Using probabilistic models to identify the strongest potential leads and the best time to act on them, and redesigning our sales process to take advantage of these insights.
• Designing and building a pipeline that combines classic machine learning tools with LLMs to fully configure a new client in our system based on their existing invoices, recipes, inventory sheets, menus, and more.
• Detecting anomalies in our clients' food and beverage usage and using those insights to help them take action to reduce their operating costs.
• Analyzing our client base to understand what drives retention and inform the roadmap of product improvements.

Our team solves business-critical problems by brainstorming technical approaches, prototyping different statistical and/or machine learning solutions, empirically measuring impact, and collaborating with engineers to deploy scalable solutions. We don't expect expertise in all areas of data science and recognize that different domains have unique challenges. Successful candidates should demonstrate their ability to work through the entire process above (from idea generation through release and impact assessment) on a problem relevant to their professional experience.

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