Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
FedEx

Senior Data Scientist

FedEx

. Apply existing predictive, forecasting, simulation and optimization models to network planning, capacity planning and operational problems .

Posted 9/15/2026full-timeHong Kong • Hong KongSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying predictive analytics, optimization models, and data analysis to operational and business decisions, with a strong focus on AI and machine learning solutions in Google Cloud Platform. Proficient in developing dashboards and analytical products that support strategic initiatives and enhance decision-making processes.

Highest-signal resume keywords
Predictive AnalyticsSQLPythonGoogle Cloud PlatformData Visualization

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Predictive ModelingOptimization ModelsStatistical AnalysisData AnalysisScenario AnalysisOperations ResearchMachine LearningGenerative AIDashboard DevelopmentPerformance Measurement
Soft Skills
Analytical Problem-SolvingCommunicationProject CoordinationBusiness AcumenUser Engagement
Tools & Technologies
Power BILookerTableauBigQueryVertex AIGeminiDatabricksGurobiCPLEXOR-Tools
Industry Keywords
Data ScienceOperations ResearchLogisticsAviationTransportationSupply ChainNetwork PlanningCapacity PlanningDigital TransformationProcess Improvement

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact
  • Apply existing predictive, forecasting, simulation and optimization models to network planning, capacity planning and operational problems
  • Evaluate model outputs and assumptions, perform scenario analysis, and translate results into actionable recommendations
  • Work with model developers, data engineers and business users to integrate solutions into planning workflows
  • Lead, design, operate, and support AI, Machine Learning and Generative AI solutions in Google Cloud Platform
  • Use GCP data and AI services to support integration, testing and adoption
  • Identify practical AI use cases and help ensure solutions are reliable, governed and aligned with business needs
  • Analyze complex datasets using SQL, Python, statistical methods and visualization tools
  • Develop dashboards, performance measures and analytical products supporting business decisions
  • Communicate findings clearly and document analytical logic, assumptions and outcomes
  • Provide analytical expertise to digital transformation, process improvement and strategic Air Network initiatives
  • Coordinate assigned work across teams and promote adoption through user engagement, training and support
  • Evaluate network performance and opportunities using network planning tools, operational data and analytical models
  • Develop dashboards, reporting tools and performance reviews for management decision-making
  • Participate in automation and process improvement initiatives
  • Support innovative solutions improving planning efficiency and operational visibility

Requirements

What you’ll need
  • Bachelor's degree or higher in Operations Research, Industrial Engineering, Data Science, Statistics, Applied Mathematics, Computer Science, Engineering or a related quantitative discipline
  • 2–5 years of practical experience in applied Data Science, Operations Research, Decision Science or advanced analytics
  • Hands-on experience applying predictive or optimization models to operational or business decisions
  • Strong SQL, Python, data analysis and visualization skills
  • Experience using Power BI, Looker, Tableau or equivalent tools
  • Practical knowledge of predictive analytics, forecasting and statistical analysis
  • Operations Research knowledge or hands-on experience in optimization, linear or integer programming, simulation, network optimization, scheduling or resource allocation
  • Strong analytical problem-solving, business acumen and focus on practical outcomes
  • Ability to explain technical concepts clearly and work effectively with technical and business stakeholders
  • Good planning, project coordination, communication and documentation skills
  • Fluency in written and spoken English
  • AI or machine learning operations experience in GCP strongly preferred
  • Experience with GCP data and AI services, preferably BigQuery, Vertex AI, Gemini and related AI operations practices
  • Experience in logistics, aviation, transportation, supply chain or network planning is an advantage
  • Experience with Generative AI, Large Language Models, AI agents, Databricks, Gurobi, CPLEX or OR-Tools is an advantage

Benefits

Comp & perks
  • Career mobility and development opportunities
  • Opportunities for advancement and location transfer
  • Training and leadership programs
  • Competitive benefits
  • Flexible work arrangements
  • Programs supporting employee well-being
  • Equal opportunity and affirmative action employer
  • Reasonable accommodations for team members and third parties with physical and mental disabilities