TruU (www.truu.io) is a funded cyber security company that is transforming the way we identify users and provide digital and physical access in a frictionless experience.  Join our data science team in developing the core machine learning models of risk that are central to our product.

Location

Boulder

Responsibilities

• Find, Collect, Clean, Explore, and Visualize Data

• Develop models using modern deep- and machine- learning techniques

• Solve open-ended problems

• Be a team player, helping others to succeed

• Follow best practices for reproducible data-science

About You

• Strong quantitative background

• Capable programmer

• Like to learn new techniques, technologies, and data stores

• Experience in machine learning, statistics, or simulation-based analysis

• Clear communicator of complex ideas

• History of delivering projects

Bonus Points

• Advanced degree or comparable experience in mathematics, physical or computational fields

• Experience with large research problems

• Strong programming skills in Python or comparable languages

• Linux system administration skills

Stack

• Python

• Toolsets: numpy, pandas, scikit-learn, keras

• InfluxDB, Elastic Search

• Git

What We Offer

• Competitive Salary, Depending on Experience

• Early Stage Equity in Growing Startup

• Standard Benefits

• Startup Culture with Flexible Schedule, and Work-Life Balance

• Learning Stipend

About TruU

TruU (www.truu.io) is a funded company with strategic backers and a high growth trajectory.  Our first customer is a well-known Fortune 500 Bay-Area technology company.  We have an office in Downtown Boulder on Pearl Street and are opening a second office in the Highlands just west of Denver in early 2018.

We love to work and we love to live, without asking for much overlap between the two. While we don't have farm-to-table catered lunches or a climbing wall in the office, we work hard on interesting and challenging problems in an enjoyable development environment. Our goal is not to maximize in-seat hours, but to empower you to solve problems efficiently and effectively.

We provide a startup environment where you play a direct role in architecting and implementing solutions to the problems before you.  This means that you have both ownership and responsibility.  If this kind of environment interests you, please contact us.