Data Scientist & Project Manager (SoF)

CHEP (Madrid, España) Publicado hace 14 días
Data Scientist & Project Manager (SoF)
Job ID #: 10646 Location: ES_Madrid_Madrid Position Type: Regular Full-Time Education Required: Bachelors Degree Experience Required: Not Indicated Relocation Provided: No Relocation Offered Job Category: Asset Management / Asset Productivity Brand: CHEP

Brambles companies, including CHEP, help move more goods to more people, in more places than any other organisation on earth. Our 330 million pallets, crates and containers are continuously in motion, forming the invisible backbone of the global supply chain and the world’s biggest brands trust us to help them transport their goods more efficiently, sustainably and safely. As pioneers of the sharing economy, Brambles created one of the world's most sustainable logistics businesses through the share and reuse of its platforms under a model known as ‘pooling’. Brambles primarily serves the fast-moving consumer goods (e.g. dry food, grocery, and health and personal care), fresh produce, beverage, retail and general manufacturing industries. The Group employs more than 10,000 people and operates in over 60 countries with its largest operations in North America and Western Europe. For further information, please visit

Brambles and CHEP provide you unparalleled opportunities to advance and accelerate your career. You’ll be joining an international growth organization with a pioneering, circular business model. You’ll be working for a company that is changing the way goods get to market. You’ll become part of an efficient and collaborative global team making a real contribution to a smarter, more sustainable future. For more on how Brambles growth companies can accelerate your career, visit

Position 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


  • 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  


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

We're excited you're here to learn how we'll leverage our family of growth companies to accelerate your career. Brambles companies employ more than 14,500 people in over 60 countries, committed to connecting people to life's essentials, every day. Our people are shaping a smarter, more sustainable future by changing the way business makes, moves and sells goods in every corner of the world. We look forward to helping you become one of them. HTTPS://

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