Description
The Amivero Team
Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.
Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
Special Requirements
The Gist…
We are looking for a Data Scientist with exceptional skill to develop machine learning and deep learning models and algorithms that create useful and actionable insight for customers. The ideal candidate should be someone who is strong mathematically; can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from the large data sets. The ideal candidate must have strong experience using a variety of mathematical/statistical/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 the analysis.
What Your Day Might Include…
Requirements
You’ll Bring These Qualifications…
EOE/M/F/VET/DISABLED
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.