Overview:
Avosys is a growing integrator of professional, technological and management solutions services. Founded in 1998, Avosys provides services nationwide to Federal, Commercial, Local and State clients. We recognize the foundation of our firm is our people and we continue to rise above our competition by hiring the best.

Is it your calling to serve our Nation’s Heroes? Avosys is seeking a Data Scientist to support the mission of the 711 Human Performance Wing.

• Maximize family time with no weekend, Holiday, or on-call requirements
• Maintain work-life balance with guaranteed 8-hour shifts
• Take advantage of our competitive, comprehensive benefits package including medical, dental, vision, life, short-term disability, long-term disability & 401(k)

Responsibilities:

• The contractor employee shall be tasked with developing, deploying and tuning novel unsupervised tree based clustering machine learning models.
• The contractor employee shall be able 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.
• The contractor employee shall be able to accurately explain the difference between
• density based and binning based clustering.
• The contractor employee shall be able 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.
• The contractor employee shall be able to write an optimized list sorting algorithm, from scratch, in less than an hour, with no external resources.
• The contractor employee shall understand how to generate a distance matrix, candidate must be able to demonstrate that they are capable of minimizing the size of a distance matrix in code. Candidate must demonstrate writing vectorized code.
• The contractor employee shall obtain HIPAA training upon performance of work.
• The contractor employee shall maintain HIPPA standards and prevent data leaks.

Qualifications:

QUALIFICATIONS:

• The contractor employee shall possess a minimum of a Bachelor’s degree in an applied quantitative field, and have a minimum of three (3) years’ experience deploying predictive analytics. Preferred education concentration may include: Computer Science, Actuarial Science, Operations Research, Applied Mathematics, and Economics.
• 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 must have a Non-Disclosure Agreement 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.

HIGHLY DESIRED QUALIFICATIONS:

• 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.

• The contractor employee shall be tasked with developing, deploying and tuning novel unsupervised tree based clustering machine learning models.
• The contractor employee shall be able 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.
• The contractor employee shall be able to accurately explain the difference between
• density based and binning based clustering.
• The contractor employee shall be able 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.
• The contractor employee shall be able to write an optimized list sorting algorithm, from scratch, in less than an hour, with no external resources.
• The contractor employee shall understand how to generate a distance matrix, candidate must be able to demonstrate that they are capable of minimizing the size of a distance matrix in code. Candidate must demonstrate writing vectorized code.
• The contractor employee shall obtain HIPAA training upon performance of work.
• The contractor employee shall maintain HIPPA standards and prevent data leaks