Data Scientist
Ecsfederal · Chantilly, VA, United States
Strong hiring record · median 32 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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
Skills
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