Data Scientist

October 10

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MegaCorp Logistics

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Logistics • Transportation Management • Proprietary Transportation Managment System (ViaTMS) • Customer and carrier web portals • Third Party Logistics

501 - 1000

Description

• Responsible for collaborating with business, operational leaders, and cross-functional IT teams to drive impactful results by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects • Responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques • Supporting senior leadership by creating business insights, reports, and analytics to aid in the decision-making process • Translates business needs into analytics/reporting requirements to support business decisions and workflows with data • Performs large-scale experimentation and development of data-driven models to answer business questions • Proactively mines data sources to identify trends and patterns and generate insights for business units and senior leadership • Performs large-scale experimentation to identify hidden relationships between variables in large datasets • Researches and implements cutting-edge techniques and tools in machine learning, deep learning and AI to make data analysis more efficient • Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed stochastic neighbor embedding (t-SNE), or principal components analysis (PCA) machine learning • Designs and conducts data analysis with the highest standard of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling • Improves and extends existing analytics and delivers reusable services while identifying cost saving opportunities • Carries out core accountabilities with minimal level of supervision for complex tasks and no supervision for more routine matters • Defines and manages standards, guidelines, and processes to ensure analytics quality • Maintains and projects the Company’s professional reputation • All other duties as assigned

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics or a related field (or relevant experience) • Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred • Experience in conducting statistical analysis and building models with advanced scripting languages • At least three years or more of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization

Benefits

• Unlimited earning potential • Medical/dental/vision benefits • Matching 401(k) Plan • Paid time off • Many more perks in a fun high-energy environment