Created about 1 month ago
CHEP CHEP

Data Scientist & Project Administrator - CHEP


  • Henri Estuardo Castro León
  • iair
  • Daniela Maria Arango
3 Applicants

España | Madrid


Job details

These are the details of the job, consider each of them before you apply.

  • Company: CHEP
  • # Data Scientists to Hire: 1
  • Type of Job: Tiempo-Completo
  • Salary: Salary to be Agreed
  • Aditional Compensation: Otras Formas
  • How urgently do they need the vacancy?: 2 a 4 semanas
  • Remote?: Una locación fija

Job Description:

The purpose of this position is: within the Asset Productivity function to analyze and model complex business problems and data sets of raw information, uncovering patterns and insights through the use of mining, algorithms, statistical, or visualization methodologies.Partnering together with a Central Asset Productivity Business Intelligence Function to help create the global data infrastructure, support regional Asset Efficiency plans and Shaping our Future programm roadmap in Europe, and provide Senior Leadership with the insights, reports and analysis to make critical business decisions.Critical thinking and problem-solving skills are essential for interpreting data


Key Accountabilities
For the Asset Productivity Function in Europe: root cause analysis for Asset efficienty anomalyes. Building up plans to guide the field teams in taking the right decisions to improve Asset Productivity through:
  • Selecting features, building and optimizing segmented business intelligence methodologies using data analytics and machine learning techniques
  • Data mining using state-of-the-art methods, and enhancement or refining current data sources for continuous improvement.
  • Configure organized, diverse data solutions to build dashboards and reports required for actionable decisions.
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner

Qualifications

  • Required:Bachelor degree in Computer Science, Stadistic, Applied Math, Machine Learning, or equivalent 
    Preferred: Master’s level degree in similar disciplines

Experience and Skills
  • 1-3 years of experience in a Data Science role or managing/analyzing large Data sets in a complex, multinational environment
  • Proven experience with SQL and databases
  • Programing languages required: Python or R.
  • Any other skills with AWS, Machine Learning, Hadoop, Spak, Java, C/C++ is a plus.
  • Visualization tools: Tableau or PowerBI a plus

Skills and knowledge

  • Excellent understanding of machine learning techniques and algorithms
  • Knowledge of implementing Data Science or Machine Learning algorithms
  • Experience with common statistical techniques and data science toolkits
  • Great communication and influencing skills, with the ability to utilize data to justify business decisions.
  • Strong quantative and analytical skills and experience with data visualisation tools.
  • Proficiency in using query languages (i.e SQL) and big data analytics
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills  


Languages
English is a must for this role.
Spanish, Other fluent languages would be highly evaluated


Skills

  • SQL
  • Data Mining
  • Data Science
  • Data Integrity
  • Data Visualization
  • Visualization
  • Data Analytics
  • Problem Solving
  • Big Data Analytics
  • Query Writing
Level of education
  • Bachelor's Degree

Seniority Level
Mid-Senior level

Industry
  • Information Services  
  • Information Technology & Services  
  • Logistics & Supply Chain
Employment Type
Full-time

Job Functions
  • Information Technology 
  • Supply Chain 
  • Science


Hiring policy
The personal data you provide as an applicant to CHEP through this website, shall be transferred by such receiver to CHEP under our terms and conditions for application purposes. Consequently, by sending your information through of the website, you consent to the transfer of personal data to third parties, in compliance with the provisions of the Laws for the Protection of Personal Data from each country where DataSource.ai has a presence, as the consent is free, prior, express, unequivocal and informed.
Share this job:

divider graphic

Related Jobs

Position
City
Compensation
Company
arrow-up icon