Data Scientist
ECS Corporate Services, LLC
Springfield, VA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$155,000.0 - $180,000.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Big Data
Computer Engineering
Data as a Services
Information Management
Python (Programming Language)
Machine Learning
Scrum Methodology
Cloud Services
Shell Script
Semi-structured Data
Information Technology
+1 more
Statistics Packages
Job description
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.
Position 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 Range: 155,000-180,000
Requirements
- 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
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