Data Scientist (25% Profit Sharing plus lots more) - Tiger Staffing Solutions, Inc.
Annapolis Junction, MD
About the Job
Data Scientist (25% Profit Sharing plus lots more)
Our Government Contractor Client invites Data Scientists to join our corporate family in providing state-of-the-art capabilities to the DOD and IC. We focus on mission, with collaboration, sustainability, and innovation serving as the foundation upon which our employees work and thrive. Client's portfolio includes: DSP and Geolocation, Software Development and Automation, Analytic Toolsets and Services, SmallSAT integration, C2, Mission Planning, and Hardware for Acquisition, Playback, and Analysis. We innovate where the mission lives, with corporate facilities strategically located in Northern Virginia, Ohio, and Colorado, plus personnel imbedded directly into US Government-sponsored labs and facilities worldwide.
Our people are the core of who we are and what we do. Our subject matter experts collaborate with junior developers and analysts bringing fresh approaches to solve the toughest mission problems. As an employee focused company, we provide unsurpassed benefits to enrich our lives and individual offices equipped with a wide range of resources to power our work.
Join our Client's mission team if you possess "Data Scientist" background please consider joining our team. Some of your responsibilities are included below:
- Devise strategies for extracting meaning and value from large datasets, employ some combination (2 or more) of the following skill areas:
- Foundations: (Mathematical, Computational, Statistical)
- Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
- Modeling, Inference and Prediction: (Data modeling and assessment, domain-specific considerations)
- Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge.
- Through analytic modeling, scripting, and/or programming, develop and implement qualitative and quantitative methods for characterizing large datasets in various states of organization, cleanliness and structure that account for the unique features and limitations inherent in classified data holdings.
Position qualifications:
- A bachelor’s degree and 3 years of relevant experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Security requirements: Active TS/SCI w/MD Poly