Data Scientist (U.S. Customs and Border Protection)

at  Logistics Management Institute

Remote, Oregon, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Jul, 2024Not Specified02 May, 20241 year(s) or aboveSharepoint,Sensitive Information,Powerpoint,Completion,Economics,Microsoft Word,Communication Skills,Connections,Computer Science,Statistical Concepts,Databases,Mathematics,Sql,Data Science,Statistics,Outlook,Excel,AccessNoNo
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Description:

Overview:
LMI seeks a Data Scientist/Statistician to support a federal directorate in the National Capital Region. Join our team of collaborative self-starters focused on delivering practical and efficient solutions to help our client keep U.S. borders safe and facilitate trade and travel. As part of our high-performing team, you will augment our vital work to provide “eyes and ears” technology to protect our nation.

APPLICANTS SELECTED FOR THIS POSITION WILL BE SUBJECT TO A COMPREHENSIVE GOVERNMENT SECURITY INVESTIGATION MUST MEET ELIGIBILITY REQUIREMENTS FOR ACCESS TO SENSITIVE INFORMATION. THE BACKGROUND INVESTIGATION INCLUDES FINANCIAL, CRIMINAL, RESIDENTIAL, EDUCATIONAL, FOREIGN AFFILIATION, AND EMPLOYMENT VERIFICATIONS. US CITIZENSHIP REQUIRED

  • Highly Preferred: Active/Full U.S. Customs and Border Protection (CBP) BI
  • This position is contingent upon completion of CBP BI

Responsibilities:

  • Develops experimental and analytical research for data analysis, use effective baselines, and accurately determine potential cause and effect relations.
  • Leads performing analysis in Python.
  • Frames and scales data problems to analyze, visualize, and find data solutions.
  • Manipulates common data formats, including comma-delimited, text files, and JSON.
  • Transforms data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
  • Derives insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
  • Develops experimental and analytical research for data analysis, use effective baselines, and accurately determine potential cause and effect relations.
  • Works in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reportin


REQUIREMENT SUMMARY

Min:1.0Max:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Data science mathematics statistics economics computer science engineering or a related business or quantitative discipline

Proficient

1

Remote, USA