Data Scientist

Descrizione posizione lavorativa

Azienda: FedEx Express EU
Numero di domanda di lavoro: RC222264
Taurusavenue 111
Hoofddorp, Olanda

Ore settimanali programmate: 40
Tipo di lavoratore: Regular
Data pubblicazione: 21-January-2020
Data di chiusura: 31-March-2020
Famiglia di lavoro: FXE-EU: Data Scientist (ID)

Riepilogo posizione:

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


linguaggio: English: Comprehension, Reading, Speaking, Writing

La filosofia alla base di FedEx pone i dipendenti al primo posto, un concetto che l’azienda prende molto seriamente. Siamo un datore di lavoro che opera nel rispetto delle pari opportunità e siamo aperti a una forza lavoro varia e inclusiva a cui offriamo opportunità di crescita senza alcuna discriminazione.

La nostra azienda

FedEx Express è una delle più grandi aziende di trasporto espresso al mondo e la rivista “Fortune” ci ha inserito tra le 10 aziende più ammirate al mondo. FedEx offre ogni giorno ai propri clienti soluzioni di trasporto e commerciali, servendo oltre 220 paesi e regioni in tutto il mondo. Possiamo usufruire di una simile rete globale grazie alla nostra eccezionale squadra di dipendenti, impegnati ad offrire l’eccellenza in ogni esperienza con FedEx.

La nostra filosofiay

La nostra filosofia P-S-P (People-Service-Profit) incarna i principi alla base di ogni decisione, norma o attività FedEx. FedEx si prende cura dei propri dipendenti e loro, di contro, offrono un servizio impeccabile necessario ai nostri clienti, che a loro volta ci premiano con la redditività necessaria a garantire il nostro futuro. L’elemento essenziale della forza propulsiva della nostra filosofia P-S-P è il suo essere un circolo chiuso, con i profitti riversati nell’azienda e investiti nel nostro personale.

Il nostro successo nel settore è il successo dei nostri dipendenti. Grazie alla nostra filosofia P-S-P creiamo un ambiente di lavoro che incoraggia i membri del team ad essere innovativi nel raggiungere la massima qualità possibile nei servizi offerti ai nostri clienti. Abbiamo a cuore il loro benessere e apprezziamo il loro contributo alla nostra azienda.

La nostra filosofia

Il nostro successo nel settore è il successo dei nostri dipendenti. Grazie alla nostra filosofia P-S-P creiamo un ambiente di lavoro che incoraggia i membri del team ad essere innovativi nel raggiungere la massima qualità possibile nei servizi offerti ai nostri clienti. Abbiamo a cuore il loro benessere e apprezziamo il loro contributo alla nostra azienda.