Onsite Data Scientist - Big Data & Cloud Analytics

ECS Corporate Services; Chantilly (VA); On-site; USD 155,000 - 180,000; Full time

Job summary

Everforth ECS is seeking a Data Scientist to support the development and integration of Big Data/Cloud Solutions at our Chantilly, VA site. The role requires a US citizen with an active Top Secret security clearance with SCI+CI Poly eligibility and a Bachelor's degree in a related field.

Candidates should have 5+ years of experience in data science, data management, and ML applications. The successful candidate will work in an Agile environment with engineers and analysts to ingest, parse,

Qualifications

• US citizenship is required.
• Active Top Secret clearance with SCI+CI Poly eligibility.
• Bachelor's degree in Data Science, Math, Statistics, Information Management, CS, Engineering, Economics or related field.
• 5+ years of experience in Data Science, CS or Computer Engineering.
• Proficient in parsing data for ML applications.
• Proficient with Linux shell scripting.
• Excellent communication and presentation skills across org levels.

Responsibilities

• Extract, transform, and standardize data from multiple sources for ingest into consolidated environments.
• Support continuous data ingest automation and analytics workflows.
• Develop and integrate applications for analytic workflows.
• Design data services and pipelines within an Agile/Scrum team.
• Collaborate with program management and engineers on evolving requirements.
• Perform multiple tasks under changing deadlines and priorities.

Skills

Data analysis

Communication

Team collaboration

Education

Bachelor's degree in related field

Tools

Python

Linux shell scripting

Job description

Everforth ECS is seeking a Data Scientist to support the development and integration of Big Data/Cloud Solutions at our Chantilly, VA site. The role requires a US citizen with an active Top Secret security clearance with SCI+CI Poly eligibility and a Bachelor's degree in a related field.

Candidates should have 5+ years of experience in data science, data management, and ML applications. The successful candidate will work in an Agile environment with engineers and analysts to ingest, parse,