Hazel Analytics

Hazel Analytics is a fast-growing food tech company on a mission to create innovative products that change the way organizations use food safety data. Founded in 2014 by professors from Stanford, UCLA, and the University of Maryland, we're the proven market leader in health department data analytics, serving Amazon, Cheesecake Factory, Chick-fil-A, Starbucks, Subway, Target, Whole Foods, and more — nearly half of the largest 100 food retail chains. Our platform transforms diffuse and disparate local health department data into actionable operational intelligence for our customers, who need to proactively monitor food safety and regulatory compliance while serving millions of meals every day. In recognition of our impact, we're a proud recipient of the Food Marketing Institute's Food Safety Innovation Award (2019) and Jack in the Box's Food Safety Innovation Award (2016). We're currently seeking a data scientist who will help identify new opportunities and develop high-impact data analytics, predictive models, and statistical tools for our user community. You'll be expected to be both a creative and critical thinker, to have strong judgment in prioritization and execution, and to strike a balance between moving quickly and delivering high-trust analytics. You'll need to not only think and act like a leader but also roll up your sleeves and deliver production-ready models. Our tech stack predominantly features Python and R, but your input will be instrumental in further defining our architecture. We're profitable and privately-held (i.e. no VC investors), which means your equity is worth something from day one, and you’ll be able to make a direct impact on the company's strategy and execution. Personally, I was hired from a HN job thread — I’m looking forward to seeing some great HN applicants!