Before the dawn of everything internet, insurance was intimate and personal. You walked down the street to chat with your broker and the risk to your business, your livelihood, was covered with a handshake. Today is different. The average insurance policy for a mom+pop store’s trades through a dozen different hands and traverses a maze of systems and processes. Few are accountable and fewer know the whole story. And if you’re a tiny limited partnership or freelancer you’ve either been reduced to a crudely estimated risk metric or excluded from the market. Read more here.
This is just a taste of the type of big problem we want you to solve. We seeking data scientists for new roles in Chicago, New York, and Richmond with the mission to transform traditional insurance models into cutting edge solutions for small businesses. Read more here.
As one of the founding members of a small, multi-disciplinary team of technologists, designers, and industry experts, you’ll have the freedom to make key decisions without much oversight and the tools and resources to build and ship ideas quickly. You’ll be a part of a startup-like environment in a company with thousands of existing users.
Our team will exude leanness, practicing iterative design techniques to concept, prototype, test, and build products. We will commit to a fast-paced release cycle from idea to product, measured in weeks instead of months.
Who You Are:
- You are excited to craft and deploy models that transform one of the most entrenched industries in the world.
- You want to use your statistical, scientific, and engineering training to work with data structures where off-the-shelf programs just won’t do it.
- You paint with plots and your models don’t keep secrets
- NLP isn’t a foreign acronym and you’ve gone from strings to whiskers
- You sail smooth in R and always have numPy, sciPy, and scikit-learn on deck
- K-means more than a curt text and Logit and Probit are not Hobbit characters
- Your best friend is a banker and you want your neighbor to be an engineer
- You’ve taken a Turing test and weren’t sure about the results
- You have experience with relational databases such as PostgreSQL, Oracle or SQL Server, and maybe even Hadoop, Hive, Spark or Redshift.
What You’ll Own:
- The foundation for advanced analytics at a global company
- The roadmap of projects you’ll work on that tie directly to business goals and objectives
- Manage the entire life cycle of data projects from strategic planning to tactical activities (data collection, cleanup, analysis, model implementation)
- Sourcing new data for a firm that rarely scrapes, pulls, or pushes
- Facilitate communication throughout the development process between executive stakeholders, your customers (internal business unit leaders), and technical teams that are implementing/automating your work
- Coordinate and build strong working relations with various internal stakeholder groups, including IT, Engineering, and Legal