Snapdocs is an early-stage, rapidly growing company backed by investors like Sequoia, SV Angel, and YCombinator. We’re a small team taking on the extensive mortgage market. We build scalable and sophisticated software for a pillar of the US economy that still relies on fax machines and manila envelopes. If you are interested in leading a Data Science org that will bring an industry into the future then we have a role for you.
The type of problems we focus on involve workflow, product design, and data. Monolith vs microservices is an ongoing debate. We are working to find a good authentication pattern that allows for people to work across companies in multiple roles (which is trickier than you might think) with accuracy, effectiveness and efficiency.
As the Head of Data Science, you are tasked to take the Snapdocs Data Science team and strategy to the next level. In this role you will lead our small but growing team of Data Scientists; doing whatever is needed to make them successful from hands on work to planning and prioritization. Comfortable wearing many hats, you know when to lead and when to dive in to support the team. The ideal candidate is someone comfortable managing a team through greenfield projects while pouring over heaps of data to build ML and AI models from the ground up. You will build, own and execute on a long term Data Science strategy by working closely with Engineering & Product Management teams to fully integrate Data Science into our Product Strategy & roadmap. The work your team does will promote data science best practices across the company today and as we scale.
Over the past 8+ years, you have gained an expertise in aggregating and analyzing large datasets to identify behavior trends using statistics, advanced data mining techniques, and have built data models to tackle real-world problems. Through this work you have mastered diverse machine learning techniques to experiment with data sets while building models that have contributed to engineering & product development. The most recent 3 years or so, you have grown from an individual contributor to managing a team of data scientists. These days your time is focused on people, process, velocity and execution within a high growth organization. Though not a hands-on role, we do expect you to have skills in one or more programming languages including SQL, Python or R and have used Cloud Platforms, bonus points for AWS. This is a niche role so advanced degrees in quantitative fields like Statistics, Computer Science, and Mathematics are required (PhDs are ideal). These skills give you the ability to lead from within while guiding the direction for a technical roadmap. We have a small team so empathy and collaboration are vital for success. Lastly, you are eager to learn! You don’t know every toolset but have shown that with the right problem, a good tutorial, and a healthy appetite for Stack Overflow, you’ll figure it out but don’t mind asking simple questions that result in measurable insights if need be.
Snapdocs strongly values diversity and drive. We want to work with people of different backgrounds and different paths in life, and we trust our team to make smart decisions. This means we value independent work as well as collaboration. We provide excellent benefits (listed below) and are located in both San Francisco and Denver but are open to fully remote team members as well.
Our benefits include (but are not limited to):
– 21 days of vacation
– Company subsidized health, dental, vision insurance
– Flexible spending account for healthcare and dependent care
– 401(k) with up to 4% company match
– Life and disability insurance
– Commuter benefits