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Lead Data Scientist (TS/SCI)

MORSE Corp
Posted 5 days ago, valid for 16 days
Location

Cambridge, MA 02139, US

Salary

Competitive

Contract type

Full Time

Paid Time Off
Life Insurance

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Sonic Summary

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  • MORSE Corp is seeking a Lead Data Scientist with expertise in data analysis, algorithm development, and AI for national security applications.
  • Candidates must have a Master's or Ph.D. in a relevant field and at least 7 years of experience in Data Science, AI, or Machine Learning.
  • The salary range for this position is between $90,000 and $210,000, with additional compensation factors considered.
  • Applicants must be U.S. citizens with an Active Top Secret U.S. Security Clearance with SCI eligibility.
  • The role involves leading teams in algorithm test and evaluation and requires excellent communication skills and a self-starter attitude.

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 

 

MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.

Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy. 

Compensation
$90,000—$210,000 USD

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.

 




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