Data Scientist

Everforth ECS is seeking a Data Scientist to work onsite at our Chantilly, VA customer’s site.  

Note: This position is contingent upon contract award. 

Everforth ECS seeks a Data Scientist to support the development and integration of Big Data/Cloud Solutions. 
The candidate will have experience in managing, manipulating, storing and parsing data for various applications. The work is performed in a multidisciplinary team environment in an agile project framework. The candidate is highly motivated and enthusiastic about implementing new technologies in a small team environment where deadlines are important to national security.

Job Responsibilities:

• Work closely with software engineers and architects to extract, transform and standardize data from multiple sources for ingest into a consolidated environments
• Support continuous process automation for data ingest
• Support the development and integration applications for analytic workflows
• Design and develop data services and/or pipelines as part of an Agile/Scrum team
• Work with program management and engineers to implement and document complex and evolving requirements
• Perform multiple tasks simultaneously and successful perform under changing requirements and deadlines
• Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork

Salary: $155,000-180,000

General Description of Benefits

• Must be a US Citizen
• Active Top Secret/SCI (TS/SCI) security clearance with a Counterintelligence (CI) or Full-Scope (FS) polygraph required
• A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field 
• 5+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering 
• Proficient parsing data in different formats for ML applications
• Proficient with Linux shell scripting
• Experience using statistical programming languages such as Python to extract and manipulate data
• Technical proficiency with transforming structured and unstructured data sets
• Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences with an impeccable attention to detail