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Data Scientist

Location: Virginia
Position City: Alexandria
Position State:
Position Zip Code: 22310
Country: United States


Our client is a high-tech small business focused on the development and application of emerging technologies that solve complex problems within the Defense, Intelligence and Homeland Security markets.  They are currently focused on performing innovative research and development in the areas of Joint Command and Control, Mobile Computing and Cyberspace.  The company is headquartered in Northern Virginia with several work locations and provides an environment and culture that rewards talent and accomplishment. They are a company of mission focused people that are satisfied when they deliver excellence and success to their customers.

They are currently seeking a Data Scientist in Alexandria VA.


Our client is currently seeking high-quality contributors for a variety of positions in the Northern Virginia area. Their projects include developing complex web client server applications; developing mobile device applications and prototypes; developing Big Data and machine learning solutions; architecting and prototyping complex distributed command and control network applications.

If you are a sharp data scientist, computational researcher, or experienced analyst with demonstrated capabilities in implementing statistically validated analytical solutions we want to hear from you.  Working with our client not only provides unique challenges and opportunities, it also directly and positively impacts many of their Defense and Homeland Security end users.

Responsibilities include:

• Identify, develop, and evaluate statistical methods and machine learning capabilities in support of multiple customer projects.
• Maintain awareness of current and emerging capabilities in statistical methods, machine learning, and analytical technologies and how these apply to solving our customers’ challenges.
• Develop captivating solutions by collaborating with customers and development team.
• Document use cases, solutions, & recommendations to customers.


• BS in a computational field (e.g., Computer Science, Mathematics, Astrophysics), or equivalent work experience.
• Proficient software development in Python or Java.
• Experience in statistical modeling with uncertainty quantification/performance estimation.
• Experience performing exploratory analysis – cleaning, joining, enriching, statistical modeling, and prototyping visualizations to identify latent trends and patterns.
• Experience curating training and analysis datasets – cleaning, enriching, joining, annotating, and crowdsourcing data for creating and evaluating production models.
• Working knowledge of databases (NoSQL and relational).


• MS or PhD in a computational field (e.g., Computer Science, Mathematics, Astrophysics), or equivalent work experience.
• Experience designing, developing, training, tuning, and deploying learning models in current ML frameworks (e.g., Tensorflow, PyTorch, Theano, Caffe, Spark MLib, etc.).
• Excellent understanding of ETL and data analytics platforms.
• Experience with Agile Methodologies.
• Experience with natural language processing techniques and technologies.
• Extensive experience with model transfer techniques and methodologies.
• Experience applying machine learning techniques to sparse data sets.
• Experience with data quality and data profiling tools.


• This position requires ability to obtain a US security clearance.  A current active clearance is not required.

EOE M/F/Disability/Vet

Our Client will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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