Data Scientist at ECS Corporate Services Data Scientist at ECS Corporate Services in Chantilly, Virginia Posted in 4 days ago. $155,000.00 - $180,000.00 per year 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 security clearance with

SCI + CI

Poly eligibility 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