Lead Data Scientist (TS/SCI)

MORSE Corp • Arlington, VA

4d • Onsite

About The Position

MORSE Corp is an employee-owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Requirements

• US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI)
• 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning
• Expertise in artificial intelligence, machine learning, and data science
• Experience in algorithm development and testing
• Excellent communication and presentation skills
• Self-starter and driven
• Ability to be onsite 4-5 days/week

Responsibilities

• Define goals and expectations for algorithm T&E performance
• Research artificial intelligence data splitting, metrics, and T&E methodology
• Lead strategy and coordination with algorithm development vendors
• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results
• Present a path forward and solutions to solve complex data problems
• Work with MORSE’s current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior