Data Scientist - Clearance Required

LMI • Scott AFB, IL

1d • $130,000 - $170,000

About The Position

LMI is seeking a data-driven, highly analytical Data Scientist for the Joint Distribution Process Analysis Center (JDPAC) at USTRANSCOM. The center provides analysis and engineering support to improve the nation’s ability to move and sustain forces around the world. This role is part of the Enterprise Data Sciences team and provides statistical and modeling support for multiple simultaneous projects addressing operational and business needs. The successful candidate will assist the USTRANSCOM Senior Data Scientist in transforming enterprise advanced analytics approaches and data management.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Data Analytics, a STEM field, or a related quantitative field with 3 years of experience; alternatively, an MS with 1 year of experience or a PhD.
• At least 1 year of experience using tools such as R, Python, SQL, Matlab, SPSS, or SAS.
• Active DoD Secret clearance; the position requires an active Secret-level security clearance.
• Must be a U.S. citizen.
• Working knowledge of business statistics and analytical methods, such as decision trees, regression modeling, and machine learning.
• Enjoy working in a team environment with frequent customer contact and have excellent oral communication and interpersonal skills.
• Demonstrated problem-solving and troubleshooting skills, with responsibility for ensuring customer satisfaction.
• Proven ability to prioritize workload effectively to meet deadlines and work objectives.

Nice To Haves

• 3–5 years of experience in an enterprise data science or statistical data analytics role.
• Working knowledge of Big Data environments.

Responsibilities

• Collect and gather large datasets, applying advanced techniques to ensure the data is reliable and high quality for its intended purpose.
• Interpret large amounts of data using advanced approaches and analytical or data visualization tools to discover patterns.
• Research and develop statistical learning models for complex data problems, identifying opportunities through statistical, data mining, algorithmic, visualization, artificial intelligence, and machine learning methods.
• Develop iterative processes to maintain statistical model quality and performance and quickly identify opportunities for improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level