Data Scientist

The Alaka`ina Foundation Family of Companies (FOCs) is possibly looking for a Data Scientist to provide support for our government customer in Dayton, OH. This may be a remote position.

RESPONSIBILITIES:

• Will be tasked with developing, deploying and tuning novel unsupervised tree based clustering machine learning models.
• Be able to accurately describe how several classes of algorithms work. 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.
• Be able to accurately explain how the k nearest neighbors algorithm works. Be able to implement the k nearest neighbors algorithm, from scratch, in code. If you can implement the naive version of the nearest neighbors, but not an optimized version, you 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, candidate must be able to demonstrate that they are capable of minimizing the size of a distance matrix in code. Demonstrate writing vectorized code.
• Be able to obtain HIPAA training upon performance of work.
• Will need to maintain HIPPA standards and prevent data leaks.

REQUIRED EDUCATION:

• Must 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.

REQUIRED SKILLS AND EXPERIENCE:

• Experience with Python and object oriented programming.
• Experience with standard data manipulation tools within Python, Numpy, Pandas ect.
• Experience with standard plotting in Python, Matplotlib.
• Experience with Sci-Kit Lean and Pythons open source machine learning software.
• Must be willing to sign a Non-Disclosure Agreement (NDA).

HIGHLY DESIRED SKILLS AND 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.

REQUIRED CITIZENSHIP AND CLEARANCE:

• Must be U.S. Citizen.
• Must Pass a Tier 1 background check (T1)/SF85 and be eligible for a CAC card.

The Alaka`ina Foundation Family of Companies (FOCs) is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.

We are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We are proud to state that we do not illegally discriminate in employment decisions on the basis of any protected categories. If you are a person with a disability and you need an accommodation during the application process, please click here to request accommodation. We E-Verify all employees

"EOE, including Disability/Vets" OR "Equal Opportunity Employer, including Disability/Veterans"

The Alaka`ina Foundation Family of Companies (FOCs) is comprised of industry-recognized government service firms designated as Native Hawaiian Organization (NHO)-owned and 8(a) certified businesses. The Family of Companies (FOCs) includes Ke`aki Technologies, Laulima Government Solutions, Kūpono Government Services, and Kapili Services, Po`okela Solutions, Kīkaha Solutions, LLC, and Pololei Solutions, LLC. Alaka`ina Foundation activities principally benefit the youth of Hawaii through charitable efforts which includes providing innovative educational programs that combine leadership, science & technology, and environmental stewardship.

For additional information, please visit www.alakainafoundation.com

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