Job Title: Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years) Position Overview: We
About Lendable Lendable is on a mission to build the worlds best technology to help people get credit and save money. Were building one of the world’s leading fintech companies and are off to a strong
Requisition Number: 29602 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $135,000.00 - $170,000.00 Security Clearance: Secret Level of Experience: Senior This opportunity resides with Warfare Systems (WS), a business group within
At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team
Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
Lynch Consultants is seeking a Senior Learning Strategy Advisor to join the team! The Senior Learning Strategy Advisor will provide part-time strategic guidance to the OUSD(C) Distributed Learning (DL) Program. The advisor will work with senior Government
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can