Junior Data Scientist - Washington, United States - Logistics Management Institute

Logistics Management Institute

Verified Company

Washington, United States

2 days ago

Posted by:

Mark Lane

beBee recruiter

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 commadelimited, text files, and JSON.
Transform data and analysis into informative visualizations and interactive dashboards using opensource 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 fastpaced, solutionsoriented 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 objectoriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikitlearn)
Experience creating meaningful data visualizations and interactive dashboards such as Tableau, Qlik, Power BI, RShiny, plotly, and 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