Data Scientist


Unternehmen: FedEx Express EU
Jobanforderungsnummer: RC222264
Taurusavenue 111
Hoofddorp, Netherlands

Geplante wöchentliche Stunden: 40
Arbeiterty: Regular
Buchungsdatum: 21-January-2020
Einsendeschluss: 31-March-2020
Berufsgruppe: FXE-EU: Data Scientist (ID)


Areas of Responsibility

  • Develop data models and analyze data to forecast business needs and opportunities by carrying out the following:
  • Work with business users and stakeholders to identify relevant business problems and opportunities to apply advanced analysis and data science as a means of solving those problems.
  • Integrate and prepare large and varied datasets, organizing data to a format that can be easily analyzed and managed.
  • Identify what data is available and relevant to the problem, design and develop strategic methods for data collection, integration and retention.
  • Communicate and collaborate with subject matter experts to gain in-depth understanding of the meaning of data elements, origins and structures.
  • Build and evaluate data models using statistical, algorithmic, mining, visualization, and data wrangling techniques for the purpose of data discovery & analysis.
  • Design and conduct experiments to test hypotheses. Validate analyses by comparing appropriate data sets and samples and using scenario modelling and testing.
  • Monitor performance of statistical models and decision systems, implement efficiency improvements, and troubleshoots systems as needed.
  • Interpret data and extrapolate meaningful insights into business opportunities or needs, and propose recommendations for decision making, development of strategies and action plans
  • Present and summarize analytical findings and recommendations to business users and stakeholders in understandable and relevant ways, both verbally and visually.
  • Document and publish analyses and with their data, modelling instructions and software code so that others may reproduce and verify the analyses, learn from them and build upon them.
  • Make recommendations to automate complex analysis tasks or use technology to expand the utility of a data model or algorithm.
  • Advise and communicate implications of the data for processes and decisions to stakeholders, and propose implications for future business opportunities.
  • Collaborate with other departments to integrate data mining results with existing systems.
  • Educate the organization on analytical approaches and principles, to drive organizational buy-in for the application of data science and advanced analytics.
Project Planning and Management
Participate in projects for the development, testing, and delivery of analytical solutions in order to achieve workgroup objectives, by carrying out the following:
  • Be part of work groups or sub-projects addressing business issues in order to enhance performance in operations.
  • Self-sufficiency: carry out assigned project tasks independently or with a work group.
  • Participate in the development and delivery of work plans; ensure work progress; identify and report success measures.
  • Conduct post-implementation review to measure success in service improvements.
  • Prepare and present progress reports to managers and stakeholders
Minimum Requirements Education:
Bachelor’s degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master’s degree preferred.

At least two (2) years in relevant quantitative and qualitative research and analytics experience.
Knowledge, Skills and Abilities Required
  • Skilled in manipulating large datasets and using databases, code-writing, data modelling, visualization, machine learning algorithms, and programming in one or more leading platforms and statistical languages (e.g. R, Python, SAS, SQL, Informatica, Spotfire).
  • Skilled in conducting statistical analysis, scenario analysis, quantitative analytics, predictive analytics, multivariate testing, and optimization algorithms.
  • Able to learn new tools and technologies fast.
  • Able to plan, prioritize, estimate, and deliver projects on time.
  • Able to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
  • Able to understand business needs and translate needs into technical specific requirements.
  • Able to work in teams and possesses strong communication skills.
  • Able to apply knowledge of systems and processes to develop business case and business requirement documents.
  • Able to analyze and resolve problems, issues and concerns related to assigned projects.
  • Able to effectively express and communicate complex analytical and business concepts.
  • Strong communication skills (written and verbal)
Required Behavioral Competencies
  • High level of integrity and business ethics
  • Ability to work and communicate effectively in a team
  • Proactive, self-confident and assertive team player
  • Ability to independently solve problems, take lead and apply initiative
  • Pragmatic with ability to provide solutions for identified issues
  • Open and accepting of the need for change
  • Ability to work independently, self-sufficiency.
  • Inspirational and can encourage others positively to push initiatives forward
  • Professional attitude at all times
  • Ability to operate with different cultures on an international level
  • Can think out of the box
  • Willing to assume accountability and responsibility


Sprache: English: Comprehension, Reading, Speaking, Writing

Bei FedEx stehen die Menschen schon immer an erster Stelle. Als Arbeitgeber, der die Chancengleichheit und die Vielfalt sowie das Integrationsengagement in der Belegschaft fördert, bieten wir Wachstumschancen für alle.

Unser Unternehmen

FedEx Express ist eines der größten Expresstransportunternehmen und befindet sich immer wieder unter den Top 10 der „World's Most Admired Companies“ der Zeitschrift „Fortune“. FedEx bietet seinen Kunden Tag für Tag Transport- und Geschäftslösungen in mehr als 220 Ländern und Gebieten weltweit. Unsere hochqualifizierten FedEx-Teams ermöglichen uns, dieses globale Netzwerk abzudecken, um das tägliche FedEx-Erlebnis einzigartig zu gestalten.

Unsere Philosophie

Die People-Service-Profit-Philosophie (PSP) beschreibt die Prinzipien, die uns bei FedEx helfen, Entscheidungen zu treffen sowie Richtlinien und Aktivitäten zu gestalten. FedEx kümmert sich um seine Mitarbeiter, die wiederum unseren Kunden hochwertige Dienstleistungen anbieten, was es uns ermöglicht, die Zukunft des Unternehmens finanziell abzusichern. Was die positive Seite der People-Service-Profit-Philosophie hierbei auszeichnet und so einzigartig macht, ist der geschlossene Kreislauf dieses Systems, in dem die Gewinne erneut in das Unternehmen investiert und unseren Mitarbeitern zugeführt werden.

Wir verdanken unseren Branchenerfolg unseren Mitarbeitern. Dank unserer PSP-Philosophie sind wir in der Lage, unseren Mitarbeitern ein stimulierendes Arbeitsumfeld zu bieten, damit diese unseren Kunden wiederum hochwertige Dienstleistungen anbieten können. Wir achten besonders auf das Wohlbefinden unserer Mitarbeiter und schätzen deren Beitrag an unserem Unternehmen.

Unsere Unternehmenskultur

Unsere Kultur liegt uns aus zahlreichen Gründen am Herzen, und wir achten genau deshalb auf unser Verhalten, unsere Handlungen und Aktivitäten in allen Teilen der Welt. Die FedEx-Kultur und Werte sind ein Meilenstein unseres Erfolges und unserer Entwicklung seit Beginn unserer Geschichte in den 1970iger Jahren. Zahlreiche Unternehmen begnügen sich damit, unsere Systeme, Infrastrukturen und Prozesse zu kopieren, was uns jedoch auszeichnet, ist die einzigartige und Facettenreiche Unternehmenskultur, die es uns ermöglicht, uns weltweit auf dem Markt durchzusetzen.