> Markdown version of [/jobs/ext/3569627-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/3569627-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** FedEx - **Location:** Memphis, TN, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Big Data, Business Process Modeling, Computer Programming, Data Visualization, Information Retrieval, Machine Learning, Mathematical Programming, Natural Language Processing, Network Simulation, Information Technology, Data Analytics - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pou9ks2553 ## About the Role Education: Master's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Relevant work experience as a data scientist based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills And Abilities * Fluency in English * Analytical Skills * Accuracy & Attention to Detail * Numerical Skills * Planning & Organizing Skills * Presentation Skills * Statistical and Mathematical Knowledge * Data Modeling and Visualization Skills * Programming Skills ## Description Responsible for analyzing strategic business objectives, utilizing statistical and mathematical programming techniques for machine learning and predictive analytics, developing and implementing algorithms and models, applying natural language processing, designing network simulation models, developing automated solutions, prototyping applications, managing projects, and communicating complex findings as a Data Scientist. * Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making. * Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling tasks. * Develop and implement machine learning algorithms and predictive analytics models to extract insights and make future predictions. * Apply natural language processing techniques to extract meaningful insights from unstructured textual data. * Develop algorithms and methods for efficient information retrieval from large datasets. * Design and optimize network simulation models to improve efficiency and performance. * Develop automated solutions to streamline processes and increase operational efficiency. * Prototype and develop applications to demonstrate the feasibility and functionality of data-driven solutions. * Manage data science projects from inception to completion, ensuring adherence to timelines and deliverables. * Communicate complex analytical findings effectively through data visualization and storytelling techniques.