Description

We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in Chantilly, VA or Aurora, CO and requires an active TS/SCI with Polygraph security clearance. Position is funded and an immediate fill opportunity. The Data Scientist will be responsible for researching, manipulating, and interpreting complex data and analyze results using machine learning, advanced statistics, and other techniques to draw inferences and clearly articulate findings. The position requires a candidate with demonstrated verbal and written communication skills, dexterity to stay abreast with new developments in data science and statistical modeling, and the ability to obtain the required security clearance. The ideal candidate is highly motivated, technically inquisitive, possess strong problem-solving proficiency, and is a clear communicator. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.

Primary Responsibilities

• Perform analysis to solve problems; translate problems into data science questions and develop solutions
• Clean, process, prepare, and maintain data sets for analysis and modeling
• Perform exploratory data analysis to identify relevant patterns and trends

• Develop, evaluate, validate, and implement statistical models and data science methods such as regression, classification, clustering, and time series to provide answers and insights on key strategic questions
• Share and communicate results to audiences of varying technical ability
• Engage and collaborate with cross-functional teams to address technical needs

Basic Qualifications

• BS and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience. May possess a Doctorate in technical domain.
• Experience with AI/ML.
• TS/SCI clearance with ability to obtain polygraph required
• Experience working with Python/C++ or R programming languages
• Experience with SciPy stack or Tidyverse packages

• Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
• Demonstrated experience using statistical and machine learning techniques
• Experience with visualizing data using popular packages including Tableau, ggplot or Matplotlib
• Ability to communicate technical findings to non-technical audiences
• Proficient with Microsoft Word, Excel, and PowerPoint

Preferred Qualifications

• Familiarity with Unix-based operating systems
• Aptitude for learning new technologies
• Prior SIGINT experience

• Familiarity with geolocation techniques

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.