Hazel Analytics | Data Scientist | Seattle, WA | ONSITE | $100K - $150K + 0.05% - 1% equity (DOE) | <a href="
Hazel Analytics is a fast-growing food tech company on a mission to create innovative products that transform the way organizations use food safety data. Founded in 2014 by prominent professors whose careers include decades of research at Stanford, UCLA, and the University of Maryland, we are the proven market leader in health department data analytics, serving nearly half of the largest 100 food retail chains.
Our Food Safety Insights (FSI) platform transforms diffuse and disparate local health department data into actionable intelligence. As a result, our customers — including Amazon, Cheesecake Factory, Chick-fil-A, Starbucks, Subway, Target, and Whole Foods — can rely on Hazel Analytics technology to proactively monitor food safety and regulatory compliance at over 100,000 locations that serve millions of meals every day in the US and Canada.
Hazel Analytics is a proud recipient of the 2019 Food Marketing Institute Food Safety Innovation Award and the 2016 Jack in the Box Food Safety Innovation Award. We've also had opportunities to be involved in interesting projects such as this recent collaboration with ESPN: <a href="
We are 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.
As a data scientist with Hazel Analytics, you will help identify new opportunities and develop high-impact data analytics, predictive models, and statistical tools that will generate practical and actionable inputs for our user community. You will be expected to be both a creative and critical thinker, have strong judgment in prioritization and execution, and strike a balance between moving quickly and delivering high-trust analytics. Our ideal candidate not only thinks and acts like a leader but also rolls up their sleeves to explore and implement new analytical models.
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Ask HN: Who is hiring? (May 2019)