Junior Data Scientist

at  Logistics Management Institute

Washington, District of Columbia, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate10 Jul, 2024Not Specified11 Apr, 2024N/ATableau,Power Bi,Mathematics,Qlik,Databases,Data Architecture,Computer Science,Predictive Analytics,Data Science,Object Oriented Programming,Connections,Economics,Python,Communication Skills,Sql,Statistics,Natural Language ProcessingNoNo
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Description:

Overview:
At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Responsibilities:

  • 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 visualization and dashboard tools.
  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.

Qualifications:

  • Pursuit of a bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline
  • Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)
  • Experience creating meaningful data visualizations and interactive dashboards such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
  • Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics; additional preferred qualifications include working with unstructured text and natural language processing
  • Superior communication skills, both oral and written

Applicants for this position may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Please note that only US citizens are eligible to obtain security clearances

Responsibilities:

  • 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 visualization and dashboard tools.
  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting


REQUIREMENT SUMMARY

Min:N/AMax: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

Washington, DC, USA