FedEx Dataworks is looking to solve the problem of connecting the physical and digital sides of their network to meet today's needs and address tomorrow's challenges.
Requirements
- Technical background in operations research, computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
- Direct experience having built and deployed robust, complex optimization and machine learning models through Cloud technologies that implement modern, data scientific methods at scale
- Ability to work with distributed teams on code-based deliverables using version control
- Solid theoretical grounding in the mathematical core of the major ideas in data science
- Expert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
- Deep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector Calculus
- Proficiency in SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworks
- Experience with PySpark, Python, Scala, R, C++, Java and other modern programming languages
- Experience with MLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworks
- Experience with CPLEX, Gurobi and other similar optimization modeling packages
Responsibilities
- Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development
- Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles
- Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems
- Mentors less senior team members to drive results
- Leads and works with cross-functional teams
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Other
- Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline
- Two (2) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience
- Strong oral and written communication skills
- Ability to work remotely within the United States may be available based on business needs
