Data Scientist Asset Control - Madrid, España - Brambles Group

Brambles Group

Empresa verificada

Madrid, España

hace 3 días

Publicado por:

Isabel García

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Descripción

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers.

We employ 11,000 people and operate in more than 55 countries.

Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner.

You'll help change how goods get to market and contribute to global sustainability. You'll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our

Hybrid Work Model

Job Description:

Asset Control is seeking for a Data Scientist to assist with continued development and implementation of models that can help us optimize the use of our assets (reduce losses, uncover patterns and anticipate issues).

As a data scientist will work on the development and automation of tools leveraging cutting edge analytics techniques in partnership with different functions across Brambles.

You will be working with large sets of structured and unstructured data (internal and external) to perform analysis, develop tools and provide actionable insights ensuring high quality results aligned with maintaining internal service levels.

Major/Key Accountabilities

Learn about current data available and propose new data sources to current situation.
Create optimization models based on business drivers to support Asset Control strategy.
Responsible for developing tools aimed to proactively monitor the external variables that can affect our business inorder to prepare and react better/quicker.
Evaluate how to use data to extract key trends, predict key indicators and identify business opportunities/risks. Merge this information with CHEP specific business knowledge and develop actionable business insights in line with regional strategy.
Support improvement initiatives & projects.
Work closely with all internal stakeholders.
Ensure best practices implementation in order to improve service to business stakeholders.
Propose enhancements on new/current processes (standardization, usability, workload).
Automate tools in order to provide outputs in a timely manner.

Qualifications:

Technology related degree and/or a minimum of 5 years working experience in a similar role.

Experience

Advanced handson experience in Python data libraries (Pandas, Scikit-Learn, Tensorflow).
Proven track record in developing machine learning models (time series, clustering, and regression analysis).
SQL experience (Ability to read/write complex SQL queries).
Worked with measures and KPIs.
Working on remote teams.
Proved experience with Project Management (manage priorities, standardization, automation, troubleshooting and longterm planning).
Experience with process automation and workload reduction.
Experience implementing data new solutions from scratch.
Experience with change management.
Experience with software development (applied to data science).
Experience with NLP and computer vision is a bonus.
Proficient using Microsoft tools: Excel, Access, Word, Power Point, Visio.

Skills and Knowledge

Coding tools and Machine Learning.
Data management and statistical analysis.
Business mindset.
Strong analytic skills.
Customer oriented.
Strong communication skills.
Flexible and able to work under pressure.
Diplomatic and sensitive when serving customers of a different mentality and culture.
Propositive.
Ability to work autonomously.
Ability to work with remote teams.
Driven by results.
Ability to learn on the fly.
Problem solver (troubleshooting).
Fluency in English essential.
Fluency in Spanish desirable.

Preferred Education

Degree and equivalent

Preferred Level of Work Experience

5 years

Remote Type

Hybrid Remote

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential.

This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.