Data Scientist

Description du poste

Entreprise: FedEx Express EU
Numéro de demande d'emploi: RC222264
Emplacements:
Taurusavenue 111
Hoofddorp, Pays-Bas

Heures hebdomadaires prévues: 40
Type de travailleur: Regular
Date d'affichage: 21-January-2020
Date de clôture: 31-March-2020
Famille d'emplois: FXE-EU: Data Scientist (ID)


Résumé de la position:

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.

Experience:
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

Qualifications:

La langue: English: Comprehension, Reading, Speaking, Writing

FedEx a développé une philosophie qui place l’individu au premier plan, et que nous prenons très au sérieux. En tant qu’employeur, nous prônons l’égalité des chances professionnelles et pouvons nous targuer de disposer d’un personnel diversifié et inclusif auquel nous offrons des possibilités d’évolution.


Notre société

FedEx Express est l’une des plus grandes sociétés internationales de transport express et figure régulièrement parmi les 10 entreprises les plus admirées au monde dans le classement établi par le magazine Fortune. Chaque jour, FedEx propose à ses clients des solutions professionnelles et de transport, dans plus de 220 pays et territoires à travers le monde. Nous répondons aux besoins de ce réseau mondial grâce aux membres incroyables de l’équipe FedEx, qui ont pour tâche de faire de chaque mission confiée à FedEx une expérience hors du commun.


Notre philosophie

La philosophie People-Service-Profit (P-S-P) décrit parfaitement les principes qui régissent la moindre décision, politique ou activité de FedEx. FedEx prend soin de son personnel, qui lui offre en retour le service impeccable exigé par les clients, nous assurant ainsi la rentabilité nécessaire pour asseoir notre viabilité future. Le succès de la philosophie People-Service-Profit de notre société tient essentiellement au fait que nous bouclons la boucle, en réinjectant les bénéfices dans nos activités et en investissant dans notre personnel.

Nous devons notre réussite au sein de notre secteur d’activité à nos employés. Au travers de notre philosophie P-S-P, nous avons mis en place un environnement de travail qui encourage les membres de l’équipe à faire preuve d’innovation en vue d’offrir un service de qualité optimale à nos clients. Nous veillons à leur bien-être et attachons beaucoup de prix à leurs contributions à l’entreprise.


Notre culture

Notre culture est importante pour de nombreuses raisons et nous faisons en sorte de l’incarner au travers de nos comportements, de nos actions et de nos activités aux quatre coins du monde. La culture et les valeurs de FedEx constituent la pierre angulaire du succès et de la croissance de notre société depuis qu’elle a vu le jour au début des années 1970. Même si d’autres sociétés copient nos systèmes, notre infrastructure et nos processus, notre culture nous rend unique et constitue bien souvent un élément différenciateur tandis que nous rivalisons avec la concurrence et nous développons sur le marché mondial actuel.