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MORSE Corp · 1 day ago

Data Scientist- TS/SCI

Arlington, VA

Full-time

Onsite

Mid Level

$110K/yr - $210K/yr

3+ years exp

MORSE Corp is an employee-owned small business based in Cambridge, MA, Arlington, VA, and Seattle, WA, specializing in cutting-edge technology solutions for the US National Security Ecosystem. They are seeking a Data Scientist to perform data analysis, test and evaluation of machine learning algorithms, and develop advanced algorithms for various applications.

AerospaceInformation TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems

Work with MORSE’s current team of engineers to transition algorithms to software applications and real-time embedded systems

Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB

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

Research and identify new methods for machine learning and data analysis

Qualification

Data ScienceMachine LearningPythonData AnalysisAlgorithmsC++MATLABStatisticsLinear AlgebraCommunicationSelf-starter

Required

US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility

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

3+ years of experience in Data Science or Analysis

Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods

Proficiency in one or more programming languages like Python, Matlab, C, or C++

Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations

Good communication skills

Self-starter and driven