Lead Data Scientist (TS/SCI)

Reposted 6 Days Ago
Easy Apply
Arlington, VA
Hybrid
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
Welcome to MORSE!
The Role
Lead teams to evaluate AI and machine learning algorithms, define performance goals, and coordinate with vendors while transitioning algorithms to software.
Summary Generated by Built In

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.

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.

Requirements:
  • US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) 

  • Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

  • 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 

The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com.

 

Top Skills

AI
Algorithm Development
Data Analysis
Data Science
Machine Learning
Machine Translation
Natural Language Processing
Software Applications
Visual Classification

What the Team is Saying

Tyler Pearl
Eddy Scott
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The Company
HQ: Cambridge, MA
185 Employees
Year Founded: 2014

What We Do

MORSE is a specially selected team of scientists, engineers, and software developers who use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem.

Why Work With Us

We have culture of exceptionally talented, smart individuals united by the goal of fielding high-quality, novel technology to support our customers in the National Security Ecosystem. The internal MORSE ethos involves fostering individuals to pursue goals and interests, innovate, and solve hard problems.

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MORSE Corp Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Most of our staff are in the office 3+ days a week

Typical time on-site: Flexible
Company Office Image
HQCambridge, MA
Company Office Image
Arlington, VA office
Seattle, WA Office
Learn more

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