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請求 ID: RC784641

Senior Data Scientist

Professional
  • 公司: Federal Express Corporation AMEA
  • 類別: Professional
  • 聘僱類型: 全職
  • 工作人員子類型: Regular
  • 預定每週工時: 44
  • 發布結束日期:
  • 遠端工作:
  • 地點:
    • 31 Kaki Bukit Road 3, Singapore, 417818, Singapore
    • 100 Cyberport Road, Hong Kong, Hong Kong Island, Hong Kong
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描述

Data Science; Operations Research; Understand strategic business objectives and provide advanced analytical research; use statistical and mathematical programming for machine learning and predictive analytics; natural language processing; information retrieval; network simulation & optimization; process automation; geospatial analysis; application prototyping; project management; data presentation and storytelling; business case development

Position Summary

This role applies Data Science, Operations Research and Artificial Intelligence to support Air Network Planning and operational decisions. The focus is on using, evaluating and operationalizing existing prediction and optimization models rather than developing new models from the ground up. The role will also lead, design, operate, and support AI solutions in Google Cloud Platform (GCP).

Key Responsibilities

Applied Data Science and Optimization

  • 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.

AI and GCP Enablement

  • Operate, monitor and support AI, Machine Learning and Generative AI solutions in GCP.

  • Use GCP data and AI services, preferably BigQuery, Vertex AI and Gemini, to support integration, testing and adoption.

  • Identify practical AI use cases and help ensure solutions are reliable, governed and aligned with business needs.

Data Analytics and Business Enablement

  • Analyze complex datasets using SQL, Python, statistical methods and visualization tools.

  • Develop dashboards, performance measures and analytical products that support business decisions.

  • Communicate findings clearly and document analytical logic, assumptions and outcomes.

Project Support

  • 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.

Analytics & Continuous Improvement

  • Utilize network planning tools, operational data, and analytical models to evaluate network performance and opportunities.

  • Develop dashboards, reporting tools, and performance reviews to support management decision-making.

  • Participate in automation and process improvement initiatives that enhance partner network planning and management capabilities.

  • Support development of innovative solutions that improve planning efficiency and operational visibility.

Minimum Qualifications

  • 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, with 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.

Preferred Qualifications

  • Hands-on experience operating AI or machine learning solutions in GCP is 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.


我們的企業

FedEx 提供全球範圍內的電子商務、貨運代理、進出口服務。通過提供綜合國際海運和空運代理、地面運輸和派送、報關代理、貿易和報關諮詢服務,以及先進的電子商務和貿易便利化解決方案,我們幫助各種規模的客戶解決全球運輸貨物的複雜問題。

我們的哲學

員工 - 服務 - 利潤。我們在意我們的員工,所以員工能夠提供完美的服務給我們的顧客,由此顧客給予聯邦快遞足以成長的利潤。我們在同業中的成功源自於員工。透過員工 - 服務 - 利潤的哲學,我們擁有鼓勵員工創新的工作環境,以提供顧客盡所能最高質量的服務。

我們的文化

我們推崇創新、正直和承諾。我們有許多正式的政策、程序和方案來鼓勵我們的員工個人或團隊的最佳表現。

我們的使命

我們力求成為同業中,致力於提供頂尖服務和成為領導品牌的最佳企業。

歡迎您瀏覽我們的網站,希望您在FedEx 的求職經歷會有所收穫。我們期待您的消息!

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