Data Scientist

MORSE Corp; Cambridge (MA); On-site; USD 90,000 - 210,000; Full time

Benefits offered by this job

401(k) match

Medical, Dental, Vision, Life insurance

Open leave policy

10 paid holidays per year

Job summary

MORSE Corp is looking for an experienced Data Scientist to provide insights into AI capabilities for national security solutions. The role involves data analysis, machine learning, and developing algorithms for complex systems.

The ideal candidate will have over 5 years of experience in data science, proficient in languages like Python, and hold a Master’s or Ph.D. in a relevant field. Competitive compensation and comprehensive benefits, including an open leave policy, are offered.

Qualifications

• 5+ years of experience in data science or data analysis.
• Solid understanding of data analysis, physics, linear algebra, statistics, and algorithms.
• Demonstrated experience with large, multidimensional, or complex data sets.

Responsibilities

• Perform data analysis and test evaluation of machine learning algorithms.
• Collaborate with the engineering team to transition algorithms to software applications.
• Research and identify new methods for machine learning and data analysis.

Skills

Data analysis

Machine learning

Programming (Python, MATLAB, C, C++)

Statistics

Linear algebra

Problem-solving

Education

Master’s or Ph.D. in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, or related field

Tools

Python

MATLAB

C++

Job description

Overview

MORSE Corp is an employee‑owned small business based in Cambridge, MA; Arlington, VA; and Seattle, WA. We deliver cutting‑edge technical solutions to the US National Security ecosystem using a carefully selected team of scientists, engineers, and software developers.

We are seeking an experienced Data Scientist with expertise in data analysis, data science, and algorithm development across fields such as visual classification, big data, natural language processing, machine translation, time‑sequenced data, and advanced metrics. The role focuses on Test & Evaluation (T&E) of AI and machine learning models to provide national security customers insights into the capabilities of AI for real‑world problem solving.

Responsibilities

• Perform data analysis, test and evaluation of existing machine learning algorithms, and develop advanced algorithms to model physical and autonomous systems.
• Collaborate with our engineering team to transition algorithms to software applications and real‑time embedded systems.
• Support development of software using programming languages such as Python, C, C++, Java, or MATLAB.
• Engage with customers, stakeholders, and vendors to present concepts, analyses, and test results.
• Present a path forward and solutions for complex data problems.
• Research and identify new methods for machine learning and data analysis.

Requirements

• U.S. citizenship required and ability to obtain a U.S. security clearance.
• Master’s or Ph.D. in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences, or a related field.
• 5+ years of experience in data science or data analysis.
• Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods.
• Proficiency in one or more programming languages such as Python, MATLAB, C, or C++.
• Demonstrated experience with large, multidimensional, or complex data sets in areas such as parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations.
• Good communication skills.
• Self‑starter and driven.
• Prior defense experience is a plus.

Compensation and Benefits

Compensation range: $90,000 USD – $210,000 USD. Total compensation may include bonus, stock, 401(k) match, paid time off, medical, dental, vision, and life insurance. Employees receive 10 paid holidays per year, and the company maintains an open leave policy that does not restrict exempt, regular full‑time employees to a specific number of paid sick or vacation days.