Data Scientist Level 2

Required Security Clearance: Top Secret/SCI with CI Polygraph, Top Secret/SCI with Full Scope Polygraph

City: Annapolis Junction

State/Territory: Maryland

Travel: None

Potential for Teleworking: No

Schedule: Full Time

DoD 8570 IAT Requirement: None

DoD 8570 IAM Requirement: None

DoD 8570 IASAE Requirement: None

DoD CSSP Requirement: None

Base-2 Solutions is looking for a Data Scientist Level 2. Education Required

• Bachelor’s degree plus 3 years of relevant experience.
• 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.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.

• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Experience in more than one area is strongly preferred.