Data Scientist

United States·Lee Rd- Aci - ChantillyNormalmid

Data ScientistData

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Quick Summary

Key Responsibilities

Work closely with software engineers and architects to extract,

Requirements Summary

$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,

Technical Tools

Data ScientistData

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.

Responsibilities

~2 min read

→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