Senior Data Scientist

As a Senior Data Scientist at Margin Edge, 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.

While we’re open to finding the right person for the role, we’ll be prioritizing candidates in the DC metro area who are able to follow a hybrid schedule and spend time collaborating with the team at our Arlington, VA headquarters.

As a team built by former (and current!) restaurant operators, our mission is to bring operators the same energy, attention to detail, and passion that they bring to their guests. Our culture is deeply rooted in service, partially because that’s where so many of our team come from (including everyone on our Business Development team), but also because we believe it is just the right way to run a business.

We design our software with profound empathy for the complexity of running a restaurant, and the goal of making the magic just a little easier for operators by taking the complex (read: very annoying) back office tasks off their plate, while empowering them with real-time data.

Our founders share a deep history in both owning and operating restaurants and in building successful tech companies. We are venture-backed and serve 12,000+ restaurants across the US and Canada.

We enable restaurants to make magic while knowing we are doing the same for them.

We have the utmost respect for our clients and because of this, we are unable to hire their current employees.

• Collaborate with product and other relevant stakeholders to identify areas that can benefit from data science support.
• Research, develop, and deploy machine learning models that solve complex business problems.
• Design and implement scalable data science pipelines that transform raw data into actionable insights.
• Evaluate and optimize existing models to improve accuracy and performance.
• Collaborate with engineering to…