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Data Scientist – Job In COLSA At Shalimar, FL

Data Scientist – Subject Matter Expert (SME)

  • Full-Time
  • Shalimar, FL
  • COLSA
  • Posted 2 years ago – Accepting applications
Job Description

Provide support to the 45 Test Squadron at Eglin AFB, FL. This support includes:

  • Deliver technical leadership and frequently serve as the technical advisor for Data Science based capabilities to enhance system test and evaluation.
  • Organize and interpret data to inform DOD decision makers, turn data into actionable knowledge; drive successful operations and shape organization technology and resource investments.
  • Provide expertise in data mining/data warehousing/data visualization techniques. Conduct research and explore specific application areas, and recommend solutions for Data Science implementation across all test portfolios targeted at solving problems.
  • Model complex institutional problems, develop insights and identify opportunities using statistical, algorithmic, mining and visualization techniques.
  • Support design and execution of test and evaluation of software intensive systems. Support development test objectives/criteria, test phase entry/exit criteria, analysis of design constraints, functional capabilities, and metrics.
  • Build advanced capabilities, conduct research and development, and develop solutions to our customers most complex and challenging data problems.
  • Support senior engineers when interacting with System Program Offices, other military services, and development contractors.

At COLSA, people are our most valuable resource and centered at our core value. We invite you to unite your talents with opportunity and be a part of our “Family of Professionals!” Learn about our employee-centric culture and benefits here.


Required Skills

Required Experience
One of the following combinations is required:
Master’s Degree in a technical discipline and a minimum of 10 years of technical experience -OR- Bachelor’s degree in a technical discipline and 18 years of technical experience –OR- HS Diploma or Equivalent and 22 years of technical experience.
  • Advanced math skills (linear algebra, statistics –Bayesian and Frequentist methods, set theory, dynamic programming, discrete math, systems theory, Multivariate Methods, Modeling in Regression).
  • Demonstrable experience with machine learning and data science techniques and mathematical approaches.
  • Data Science expertise and experience with algorithm development and data structures in common programming languages (e.g., Python, SQL, JAVA, C#, Julia) and tools (e.g., Jupyter Notebooks, TensorFlow, Keras) and cloud-based environments (e.g., AWS or Azure, to include cloud-native or cloud API-based interfaces).
  • Familiarity with ML libraries, and the algorithmic methods available, and when/how to apply the appropriate method given the objective.
  • Extensive analytics or big data analysis experience, experience with exploratory data analysis on large data sets.
  • Demonstrated ability to work effectively on a team and lead/direct the work of others.
  • Effective oral and written communications skills.
  • Proficiency in the use and integration of MS Office applications.
  • Travel within continental US.
  • US Citizenship required; must be able to obtain/maintain Top Secret clearance.

Preferred Qualifications:

  • Understanding of developmental test and evaluation processes, specifically - acquisition program development and detailed knowledge of Air Force C2 test methodologies including AFI 99-103. Familiarity with Design of Experiments.
  • PhD in computer science, math, statistics, or related STEM discipline.
  • Ability to interface with prime contractors developing the system under test (SUT) regarding test objectives, schedules, budgets, and methods of test.

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. COLSA Corporation is an Equal Opportunity Employer, Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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