At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers like grocery stores, restaurants, and cafes across the United States. We’re able to drastically reduce the amount of food waste, which in turn drives profit for retailers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.
Shelf Engine is searching for talented Data Scientists to own and drive experimentation and causal inference to improve the abilities for Shelf to deliver on its mission. This person will join our growing team and report directly to our Head of Data Science. In this role, you will design, build, and launch scalable, scientifically rigorous measurement, monitoring, and experimentation systems to identify heterogeneous treatment effects, and derive statistically-robust and causal inferences in the face of partially observable, incomplete, censored, endogenous, and diverse data. You’ll apply your expertise and breadth of knowledge in statistics, causal inference, and experimentation to identify appropriate solutions, and to establish scalable, rigorous frameworks using your skills in code and productionalization to prototype, launch, and iterate. You will spearhead experimentation across the organization, working cross-functionally, and leveraging our team of machine learning and forecasting experts, Engineers, Operations, Customer Success, and Field teams to gain critical insights, and create approaches that balance scientific rigor with strategic implementation, speed, and efficiency. If you have a passion for solving complex problems, working collaboratively with an awesome and supportive team, and making a huge social impact, this may be your dream job.
The goal is to help Shelf Engine develop and productionalize best-in-class AI and machine learning models at-scale to achieve business objectives. Your strengths in statistics, causal inference, and experimentation, alongside your quick adaptability to understand business requirements will directly impact our ability to deliver on our mission; striking a fine balance between reducing customers’ food waste, and avoiding understocking situations given the uncertainties of demand, pricing, promotions, vendor capacity, lead times, inventory, product nuances, and customer experience. Join us to solve critical problems and use your skills in causal inference and experimentation for a positive social impact.
About Us:
At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.