Senior Data Scientist

FedEx Group; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

FedEx is seeking a data science professional to apply Operations Research and AI to Air Network Planning. The role focuses on using existing prediction and optimization models, evaluating results, and supporting planning decisions in a cloud environment.

You will work with data engineers and business users, develop dashboards, and enable AI solutions in Google Cloud Platform, leveraging BigQuery, Vertex AI and Gemini to improve efficiency and visibility across the network.

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

SQL

Python

Data visualization

Power BI

Looker

Tableau

Operations Research

Optimization

Forecasting

English proficiency

Education

Bachelor's degree or higher in quantitative discipline

Tools

BigQuery

Vertex AI

Gemini

Databricks

Gurobi

CPLEX

OR-Tools

Job description

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.

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World's Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.