Data Scientist

Posted 22 Hours Ago
Be an Early Applicant
Annapolis Junction, MD, USA
In-Office
96-115 Hourly
Expert/Leader
Artificial Intelligence • Software • Cybersecurity • Defense
The Role
Develops and leads data science initiatives using structured and unstructured data to create machine learning and statistical models. Translates client requirements into analytical solutions, develops features and algorithms, validates models, and guides analytical development teams. The role also involves applying AI and machine learning to complex government and intelligence challenges, with potential integration of analytics into production systems.
Summary Generated by Built In
Job TitleData Scientist Overview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.


EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.


Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at EverWatch, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. 

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.  

Work with us as we use data science for good.   


Join us. The world can’t wait.

Qualifications

You Have:   

  • Experience with statistical and general-purpose programming languages for data analysis, such as R, Python, SAS, or MATLAB 
  • Experience analyzing structured and unstructured datasets
  • Experience developing and validating machine learning or statistical models
  • Experience developing feature vectors and tuning analytical algorithms 
  • Experience translating customer requirements into analytical solutions
  • Experience leading data science teams and analytical development efforts  
  • TS/SCI clearance with a polygrpah 
  • Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, engineering, or computer science) and 10+ years of experience in machine learning, data mining, advanced statistical analysis, artificial intelligence, or data analysis software development, HS Diploma or GED and 14+ years of experience in machine learning, data mining, advanced statistical analysis, artificial intelligence, or data analysis software development 

Nice If You Have:   

  • Experience developing statistical tests, experiments, or simulated datasets 
  • Experience evaluating models using cross-validation, ROC curves, or confusion matrices 
  • Experience transitioning analytical prototypes into production systems
  • Experience developing scalable analytics for large datasets
  • Experience integrating analytics into production workflows with software or cloud engineers
  • Experience creating data visualizations and analytical reports 
  • Experience applying emerging machine learning or pattern recognition algorithms 

Clearance:

  

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.  



Compensation at EverWatch is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96.16 to $115.39 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees.

Job LocationsUS-MD-Annapolis Junction SkillsData science, AI/ML, Python, Data mining MinMax

Skills Required

  • Experience with statistical and general-purpose programming languages for data analysis, such as R, Python, SAS, or MATLAB
  • Experience analyzing structured and unstructured datasets
  • Experience developing and validating machine learning or statistical models
  • Experience developing feature vectors and tuning analytical algorithms
  • Experience translating customer requirements into analytical solutions
  • Experience leading data science teams and analytical development efforts
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in a quantitative discipline and 10+ years of relevant experience, or a high school diploma/GED and 14+ years of relevant experience
  • Experience developing statistical tests, experiments, or simulated datasets
  • Experience evaluating models using cross-validation, ROC curves, or confusion matrices
  • Experience transitioning analytical prototypes into production systems
  • Experience developing scalable analytics for large datasets
  • Experience integrating analytics into production workflows with software or cloud engineers
  • Experience creating data visualizations and analytical reports
  • Experience applying emerging machine learning or pattern recognition algorithms
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The Company
HQ: Reston, VA
245 Employees
Year Founded: 2017

What We Do

EverWatch is a government solutions and technology company supporting U.S. defense and intelligence agencies. It delivers mission-ready software, cyber and analytical services, secure systems, and operational support for high-stakes federal missions. Its capabilities include artificial intelligence and machine learning, cybersecurity, software and analytics development, cloud services, signals intelligence, data science, and mission deployment, with an emphasis on classified, national-security environments.

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