Data Scientist II

We are seeking a Data Scientist II with the following required skills:

Good skills with Python programming skills and RF background.

Job Title:  Data Scientist IILocation: Annapolis Junction, MDEmployment Type: Full-time

Position requires an active TS/SCI with Polygraph level clearance. US citizenship is required.

Capabilities:

• Employ some combination (2 or more) of the following areas:

1. Foundations (Mathematical, Computational, Statistical)2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Yes/No

• Devise strategies for extracting meaning and value from large datasets. Yes/NoMake and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences.
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

Qualifications:

A bachelor's degree and 10 years of relevant experience. An associate's degree plus 12 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., algorithms, 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.

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