At Interos, we are disrupting the way Fortune 500 companies and government agencies identify and respond to risk within their supply chains – whether this risk is being caused by cyber breaches, geopolitical issues, malicious intent, quality concerns, natural disasters or unethical sourcing and sustainability concerns. We deliver the data and insights to business leaders that help them identify, visualize and understand the ripple effects that could impact their supply chains, before they happen.
Recently funded by Kleiner Perkins and pivoting to an automated solution, Interos is in essence, a start-up SaaS environment. We need someone who thrives as part of fast-paced team and takes pride in their attention to detail, their ability to take on many different things.
The Opportunity: We are looking for an experienced Data Scientist with exceptional product sense to develop machine learning and deep learning models and algorithms that create unique insight for customers. The ideal candidate should be someone who can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from the large open source and proprietary data sets. The ideal candidate must have strong experience using a variety of data mining/data analysis methods and tools. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of a product.
Interos is proud to be an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, protected veteran status or any other classification protected by law.
If you are a candidate in need of assistance or an accommodation in the application process, please contact HR@interos.net