FedEx-posted 8 months ago
$7,094 - $12,533/Yr
Full-time • Mid Level
Hybrid • Plano, TX
Couriers and Messengers

Under moderate supervision provides expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well-defined and lower complexity business problems. Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management. Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making. Leads cross functional projects and programs, formally preparing and presenting to management. Provides consultation to management on a regular basis. Routinely works on multiple assignments concurrently. Mentors less experienced staff.

  • Provide expertise at the enterprise level related to data analytics and AI/ML initiatives.
  • Develop analytical solutions for well-defined and lower complexity business problems.
  • Create and execute solutions from initial concept to fully tested production.
  • Communicate results to a broad range of audiences.
  • Lead cross-functional teams in various modeling and statistical analysis.
  • Evaluate trends and develop actionable insights for business partners.
  • Drive decision-making using data and statistical analysis.
  • Lead cross-functional projects and programs.
  • Mentor less experienced staff.
  • Master's degree in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields.
  • Two years of work experience in business, mathematics, economics, computer science, or other quantitative fields in an analytical, quantitative, or technical role.
  • One year of experience or coursework with analytical/modeling languages (e.g., Python, R, SAS, SQL) and data visualization tools (e.g., Tableau, PowerBI).
  • Strong problem solving, analytical, and communication skills.
  • Experience working on analytics, machine learning, and deep learning on Azure or other Cloud environments.
  • Knowledge of time series forecasting, customer, market, and business activities.
  • Sufficient knowledge on Data Engineering, Cloud Platform, and MLOps.
  • Health, vision, and dental insurance.
  • Retirement plan.
  • Tuition reimbursement.
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