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Data Scientist/AI ML Engineer - Clearance Required at Logistics Management Institute in Falls Church, Virginia

Posted in Other 30+ days ago.





Job Description:


Data Scientist/AI ML Engineer - Clearance Required

Job Locations

US-VA-Falls Church










Job ID
2021-6847
# of Openings
2

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.

Responsibilities

    Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.
  • Innovative application of statistical and data science techniques in solutioning.

  • 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.

  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.

  • Possess ability to work in teams setting, including as a team lead, and independently

  • Advises on technology pairings across process discovery, automation, AI/ML and analytic tools.

  • Assists in the design and build of relational databases for data storage or processing, considering implementation, data acquisition, and archive recovery.

  • Performs business and systems analysis, software changes, hardware and operating system support for RPA and AI/ML tools.

  • Drives outreach and change management strategies to increase awareness and adoption of intelligent automation across DOD, identify stakeholder needs and use cases.

  • Responsible for supporting strategic outreach and attendance at key interagency meetings and events.

  • Initiates engagement with customers and makes recommendations for whether to proceed with engagement.

Qualifications


  • 5-12 years experience in data science, machine learning, and AI.

  • Bachelor's Degree in Data Science, Operations Research; Computer Science, Engineering; Physics or closely related scientific or technical discipline.

  • Preferred; Master's degree or a Ph.D. and at least twelve (12) years of experience in the field or in a related area.


  • Experience with AI/ML and intelligent automation solutions highly desired.

  • Previous federal experience highly desired.

  • Experience providing support to RPA (Robotic Process Autiomation) tools.

  • Deep understanding and applied experience in machine learning, mathematical modeling, statistical analysis along with computer science expertise.

  • Experience as a data engineer or in a similar role with duties that included data modeling, data sourcing, data warehousing, and building ETL pipelines

  • Mastery of Python, SQL, R and related tools

  • Experience in product development

  • Experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results

  • Experience in working with machine learning models and algorithms, including natural language processing (NLP)

  • Active DoD Secret clearance is required.

#LI-SH1



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 (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.


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