Data Analyst

5 days ago

New York, New York, United States Logistics Management Institute Full time
Job Title: Data Scientist

We are seeking a skilled Data Scientist to join our team at Logistics Management Institute. As a Data Scientist, you will apply advanced analytics techniques to improve the quality of vital supply chain and logistics data.

Key Responsibilities:
  • Frame and scale data problems to effectively analyze, visualize, and find data solutions.
  • Manipulate common data formats, including comma-delimited, text files, and JSON.
  • Transform data and analysis into informative data 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.
  • Assess the effectiveness and efficiency of logistics functions through data analysis.
  • Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products.
  • Oversee and complete special projects as needed.
  • Rapidly prioritize competing requirements, understand and simplify client requirements.
  • Communicate with clients through written reports and oral presentations.
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 Python.
  • Working knowledge of databases and SQL.
  • At least 0–4 years of experience in the field.
  • Superior communication skills, both oral and written.
Desired Qualifications:
  • Master's degree or higher.
  • Previous experience working with DoD or supply chain data.
  • Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and communicating findings and relating them back to how your insights create business impact.

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