Data Scientist active TS/SCI

Data Scientist active TS / SCI

Job Locations US-VA-Tysons

Job ID

2021-6201

of Openings

Category

Data / Analytics

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.

We are currently seeking an innovative, experienced, and highly-skilled Data Scientist to join our growing Advanced Analytics & AI team in Tysons, VA.

In this role, you will create and develop custom solutions for our users in a collaborative, fast-paced, state-of-the art environment.

To be successful in this role, you will be thorough, creative, and exceptionally well-skilled in all phases of the development lifecycle, with a passion for continued learning and collaboration.

This position is located in Tysons, VA and requires an active TS / SCI clearance*

Responsibilities

The Data Scientist will :

Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.

• Manipulate common data formats, including comma-delimited, text files, and JSON.
• Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.
• Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.
• Establish data science pipelines.
• Develop, train, test, deploy, and sustain AI and machine learning models.
• Leverage data patterns and other development methods to optimize code and reduce computational cost.
• Develop front-end interfaces to facilitate usage of developed AI / ML solutions
• Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.

Qualifications

• Active TS / SCI clearance
• Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline strongly preferred.

Master's degree in these disciplines preferred.

• Experience working with Scala, Python, Java
• 5-10+ years of related experience required
• Advanced data science experience required
• Significant experience with databases
• Experience and familiarity with Agile-Scrum software development
• Experience gathering and decomposing requirements
• Proven record of solution development and deployment
• Familiarity with web based application development
• Experience with testing, use case, and user stories
• 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

LI-SH1

EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities.

LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

If you are a person with a disability needing assistance with the application process, please contact [email protected]

Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation.

You will not be penalized for redacting or removing this information.

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