Junior Data Scientist

Overview

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces!

We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!

LMI is seeking a Junior Data Scientist to support a Special Operations customer in Tampa, FL.

*This position is on-site at MacDill Air Force Base in Tampa, FL.

Responsibilities

Responsibilities may include:

• 1 years applying statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide value to Intelligence Analysts.
• Work with analysts to interpret analytic results and refine analysis as needed. Collaborate with Intelligence Analysts to understand needs and devise possible solutions.
• Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of the intelligence process.
• Communicate results and ideas to key decision makers, analysts and other stakeholders. Contractor shall advise on the interpretation and use of data intelligence products, quality assessments and applications.

Qualifications

QUALIFICATIONS:

• Bachelors dergee in Data Science, Statistics, Applied Math, or related STEM field is required. Master’s degree is preferred
• 1 years of related experience required
• Ability to obtain an interim Secret clearance in a timely manner is required. TS/SCI clearance is preferred. 
• Must be proficient with at least one programming language (Java, C , Python, R, etc.)
• Proficient in Agile Development and Git Operations
• Demonstrated experience applying data science methods to real-world data problems
• Outstanding communication skills, written and verbal
• Highly organized and able to manage multiple projects simultaneously
• Team-player mentality with a positive attitude
• Keen attention to detail and solid analytical skills
• Able to articulate complex, abstract concepts concisely and effectively

Languages, Tools, and Techniques

• Demonstrated proficiency with Python and SQL to manipulate data and draw insights from large data sets.
• Demonstrated proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Demonstrated proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Demonstrated proficiency with common data science libraries.
• Demonstrated proficiency visualizing/presenting data for stakeholders.
• Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot.

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