Odyssey Systems has an exciting opportunity for a Data Scientist, supporting the 711th Human Performance Wing (711 HPW), headquartered at Wright-Patterson Air Force Base.   It is the first human-centric warfare wing to consolidate human performance research, education and consultation under a single organization.   

***Contingent upon contract award***

Duties include, but are not limited to:

-Develop, deploy, and tune novel unsupervised tree based clustering machine learning models.
-Show ability to accurately describe how several classes of algorithms work. Candidate must be able to accurately explain exactly how a decision tree works, and be able to code it from scratch.
-Be able to accurately explain the difference between density based and binning based clustering.
-Have the ability to accurately explain how the k nearest neighbors algorithm works. Candidate must be able to implement the k nearest neighbors algorithm, from scratch, in code. If the candidate can implement the naive version of the nearest neighbors, but not an optimized version, they must be able to accurately describe an optimized version of k nearest neighbors.
-Be able to write an optimized list sorting algorithm, from scratch, in less than an hour, with no external resources.
-Understand how to generate a distance matrix, be able to demonstrate that they are capable of minimizing the size of a distance matrix in code, and demonstrate writing vectorized code.
-Have ability to obtain HIPAA training upon performance of work.
-Ensure maintenance of HIPPA standards and prevent data leaks.

***Contingent upon contract award***

Minimum Required Qualifications

Citizenship: Must be a US citizen

Clearance:  NACI

Education:  The contractor employee shall possess a minimum of a Bachelor’s degree in an applied
quantitative field.

Years of Experience: A minimum of three (3) years’ experience deploying predictive analytics.

Other Requirements:

-The contractor employee shall demonstrate experience with Python and object oriented
programming.
-The contractor employee shall demonstrate experience with standard data manipulation
tools within Python, Numpy, Pandas ect.
-The contractor employee shall demonstrate experience with standard plotting in Python,
Matplotlib.
-The contractor employee shall demonstrate experience with Sci-Kit Lean and Pythons
open source machine learning software.
-The contractor employee shall have a signed Non-Disclosure Agreement (NDA) in place
with their company based on the potential access to confidential, proprietary, and/or
sensitive information. The NDA shall be provided to the Government Program Manager
by start of performance.

Preferred Qualifications

Education:  Education concentration may include: Computer Science, Actuarial Science, Operations Research, Applied Mathematics, and Economics.

Years of experience: 

-Experience working with software engineers to develop novel dashboards to enable interaction with AI technologies.

-Experience developing with pre trained language models.
-Experience with Dimensionality reduction techniques.

-Experience with Tensorflow, Pytorch or other GPU enabled deep learning libraries.
-Experience working with USAFSAM.
-Prior study and familiarity of human biology.
- Prior study and familiarity of human performance.

Additional Information

Location: Wright-Patterson AFB (or remote)

Travel:  Possible

Remote, Onsite, or Hybrid:  Can be remote or onsite at Bldg 840, WPAFB, OH 45433-7913

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***Contingent upon contract award***

Odyssey Systems Consulting Group, is an innovative small business committed to providing world-class technical, management, and training support services to government and public sector clients. We focus on people, processes, and performance to deliver superior results. Since our inception in 1997, our commitment to mission success and customer satisfaction has been recognized with exponential growth and exceptional past performance ratings. We accept challenging assignments and drive projects from the planning stages, through implementation, and into operations and support.

Please note: Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities