Snapdocs is a rapidly growing San Francisco-based real estate technology unicorn backed by leading investors Sequoia, Y Combinator, Tiger Global, F-Prime, and others. We’re on a mission to perfect mortgage closings for all. Powering millions of closings a year, Snapdocs is leading the charge to modernize, streamline, and improve the mortgage process for lenders, borrowers, and settlement.
At Snapdocs, we are on a mission to enhance the real estate closing process with efficiency and transparency so that lenders can close their loans sooner and home buyers can move into their dream homes quicker. To help us accomplish this goal, we are looking to bring on a Senior Data Scientist to join our small but mighty team of two Data Scientist! The ideal candidate is someone who relishes pouring over messy data to find patterns and train machines to do so with high accuracy and recall. If this sounds exciting, read on…
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). Domain Driven Design is our guiding light.
As a Senior Data Scientist, you will focus on aggregating and analyzing large datasets to identify behavior trends using statistics, advanced data mining techniques, and build data models to tackle real-world problems. This means helping to develop our training data, building quick prototypes to evaluate signal to noise ratio in the data, and piping them through multiple machine learning models to find the model that can help automate work. The ideal candidate is someone comfortable leading a team through greenfield projects while pouring over heaps of data to find patterns and train machines to do so with high accuracy and recall. You will build models from the ground up while updating existing models (ML and AI) to automate repetitive repeatable tasks. You will analyze data generated as a by-product of manual tasks and build models that can operate on similar or better accuracy than humans. Up for the challenge?
Over the past 5+ years, you have mastered advanced machine learning techniques to experiment with large data sets while building models deployed in production. You have an expertise in one or more programming languages including Python, SQL 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). Technical leadership and individual contributor hats both fit you well. You can lead from within while guiding the direction for a technical roadmap. We have a small data science team of 2 today so empathy and collaboration are keys to success. Lastly, you are eager to learn! You don’t know every toolset but have proven that with the right problem, a good tutorial, and a healthy appetite for StackOverflow, you’ll figure it out but don’t mind asking simple questions that result in measurable insights if need be.
Colorado applicants: This role pays $140,000 – $175,000 annually plus equity in the company (pay for other locations may vary).
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!
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
Snapdocs is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know.