Data Scientist

FedEx Group

Lisboa

Híbrido

EUR 60 000 - 90 000

Tempo integral

Há 12 dias
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Flexible hybrid working arrangements
Tuition Assistance Program

Resumo da oferta

FedEx is hiring a Data Scientist to apply advanced analytics, machine learning, and AI to solve challenging business problems within Global Trade Services. The role focuses on building predictive models, automating workflows, and shaping the Data & AI roadmap.

You will collaborate with customs experts, operations teams, and technology partners to translate business problems into analytical solutions, driving measurable value and data literacy across the organization.

Qualificações

  • Master's degree or equivalent in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Experience applying advanced analytics, machine learning, or AI techniques in a business environment.
  • Experience with SQL and large-scale data environments.
  • Programming skills with modern data science libraries and frameworks.
  • Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of predictive modeling, statistical analysis, experimentation, and machine learning methodologies.
  • Strong problem-solving and critical-thinking capabilities.
  • Excellent communication and stakeholder management skills.

Responsabilidades

  • Drive Data-Driven Decision Making: Analyze large and complex datasets to identify trends, risks, opportunities, and operational improvement initiatives.
  • Develop actionable insights that support strategic and operational decision-making across Global Trade Services.
  • Create predictive and prescriptive analytics solutions that improve productivity, service performance, and trade compliance.

Conhecimentos

SQL
Programming with data science libs
Advanced analytics
Machine learning
Statistics
Problem solving
Communication

Formação académica

Master's degree or equivalent in Data Science/Statistics/CS

Ferramentas

Power BI
Tableau

Descrição da oferta de emprego

Want to use Data and AI to transform global trade at one of the world's largest logistics companies?
Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.

Position Summary

Want to use Data and AI to transform global trade at one of the world's largest logistics companies?

Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.

Who we are:

FedEx is the largest express transportation company in the world, connecting more than 220 countries and territories. We work every moment to deliver the most important package of someone’s day. Our team of passionate people know their day-to-day work is invaluable in delivering outstanding experience to our customers. 530,000 team members strong, we are as diverse as the world we serve. We love what we do, and we do it well. Our reach is big, and so are our dreams. Join us and let's write our next chapter together.

What you will be doing

Drive Data-Driven Decision Making:

  • Analyze large and complex datasets to identify trends, risks, opportunities, and operational improvement initiatives.

  • Develop actionable insights that support strategic and operational decision-making across Global Trade Services.

  • Create predictive and prescriptive analytics solutions that improve productivity, service performance, and trade compliance.

Develop Advanced AI Solutions & Analytics:

  • Design, build, and deploy machine learning and AI models that address critical business challenges.

  • Assess, identify and prioritize opportunities to automate manual processes through advanced analytics and intelligent automation and deliver measurable business value.

  • Explore Generative AI solutions to enhance knowledge management, customer interactions, operational workflows, and employee productivity.

Partner with Business Leaders:

  • Collaborate closely with customs experts, operations teams, product owners, and technology partners to understand business problems and translate them into analytical solutions.

  • Facilitate data-driven discussions and influence stakeholders through compelling insights and storytelling.

  • Support the development of the Global Trade Services Data & AI roadmap.

Build the Future Data & AI Capability:

  • Help establish best practices in data science, experimentation, model governance, and responsible AI.

  • Contribute to building a data-centric culture by promoting data literacy and analytical thinking across the organization.

  • Stay abreast of emerging technologies and industry trends in AI, analytics, and global trade.

Required Qualifications
  • Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

  • Experience applying advanced analytics, machine learning, or AI techniques in a business environment.

  • Experience with SQL and large-scale data environments.

  • Programming skills and experience with modern data science libraries and frameworks.

  • Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms.

  • Knowledge of predictive modeling, statistical analysis, experimentation, and machine learning methodologies.

  • Strong problem-solving and critical-thinking capabilities.

  • Excellent communication and stakeholder management skills.

Preferred Qualifications
  • Experience with Generative AI, Large Language Models (LLMs), and AI-powered automation solutions.

  • Experience with cloud-based analytics platforms and modern data architectures.

  • Experience in logistics, transportation, customs, supply chain, or international trade environments.

  • Familiarity with Responsible AI, data governance, and model lifecycle management practices.

What do we offer:

This is a unique opportunity to help define the future of Global Trade Services at one of the world's most recognized logistics organizations.

  • Work on high-impact global challenges that affect international trade and customer experience.

  • Apply cutting-edge AI and analytics technologies to real-world business problems.

  • Collaborate with experts in customs, technology, operations, and business transformation.

  • Influence the creation of a world-class Data & AI capability within Global Trade Services.

  • Help shape the future of how global trade is managed, automated, and optimized at FedEx.

  • Competitive salary and comprehensive benefits package.

  • Flexible hybrid working arrangements.

  • Tuition Assistance Program.

Join us in transforming Global Trade Services into a data-driven and AI-powered organization that sets new standards for innovation, compliance, and customer experience across the global trade ecosystem.

Additional information:
  • #LI-Hybrid

FedEx hecht het grootste belang aan zijn filosofie waarin mensen op de eerste plaats komen. Als werkgever met een gelijkekansenbeleid zijn we toegewijd aan een divers en inclusief personeelsbestand waarin we iedereen groeimogelijkheden bieden

Ons bedrijf

FedEx is een van 's werelds grootste express transportbedrijven en werd herhaaldelijk door het tijdschrift ‘Fortune’ geselecteerd als een van de 10 meest bewonderde bedrijven ter wereld. FedEx levert zijn klanten dagelijks transport- en bedrijfsoplossingen in meer dan 220 landen en gebieden over de hele wereld. We kunnen dit wereldwijde netwerk bedienen dankzij ons uitstekende team van FedEx-teamleden, die de taak hebben om elke FedEx-ervaring gedenkwaardig te maken.

Onze filosofie

De People-Service-Profit-filosofie (PSP) beschrijft de principes die van toepassing zijn op elke beslissing, elk beleid of elke activiteit van FedEx. FedEx draagt zorg voor onze mensen; zij leveren op hun beurt de onberispelijke service die onze klanten verwachten, die ons dan weer voorzien van de nodige financiële middelen om onze toekomst veilig te stellen. We benutten de People-Service-Profit-filosofie als een positieve factor voor het bedrijf door de cirkel te sluiten en onze winsten terug te geven aan het bedrijf en te investeren in onze mensen.

We hebben ons succes in de branche te danken aan onze mensen. Onze PSP-filosofie creëert een werkomgeving waarin teamleden worden aangemoedigd om innovatief te zijn bij het leveren van de best mogelijke dienstverlening aan onze klanten. Wij zorgen voor hun welzijn en waarderen hun bijdragen aan het bedrijf.

Onze cultuur

We hebben ons succes in de branche te danken aan onze mensen. Onze PSP-filosofie creëert een werkomgeving waarin teamleden worden aangemoedigd om innovatief te zijn bij het leveren van de best mogelijke dienstverlening aan onze klanten. Wij zorgen voor hun welzijn en waarderen hun bijdragen aan het bedrijf

Gelijkheid, kansen en diversiteit (EO&D)

Bij FedEx zijn onze mensen onze grootste troef. Wij zetten ons in voor een diverse, eerlijke en inclusieve werkomgeving en bieden gelijke kansen, gelijkheid en respect aan iedereen, ongeacht wie je bent. Wij moedigen je aan om te solliciteren, ook al denk je dat jouw ervaring niet volledig aansluit bij alle aspecten van de functiebeschrijving, wellicht ben jij precies de persoon die wij zoeken voor deze, of een andere, vacature.

Wij tolereren geen enkele vorm van discriminatie of intimidatie op basis van ras, huidskleur, etniciteit, nationale afkomst, religie, geslacht, leeftijd, genetische informatie, burgerschap, handicap, burgerlijke staat, zwangerschap, seksuele geaardheid, genderidentiteit, genderexpressie of enige andere eigenschap die wordt beschermd door internationale en nationale wet- en regelgeving. Wij komen tegemoet aan redelijke verzoeken van teamleden en derden als het gaat om aanpassingen die gelijke toegang, inclusie en eerlijkheid voor eenieder waarborgen.

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