Data Scientist - Madrid, España - Brambles Group

Brambles Group

Empresa verificada

Madrid, España

hace 2 semanas

Publicado por:

Isabel García

beBee Recruiter

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:

As a Data Scientist, you will be developing tools and technologies that leverage data from a variety of sources to increase supply chain efficiencies and provide value to our customers.

Key Accountabilities

Responsible for supporting project and results
Projects have increased companywide importance and visibility
Responsible for supporting the development of internal and external customer projects
Supporting endtoend implementation of algorithms and required data storage mechanisms as reusable services
Successful production use of data science results, with a focus on digital products
Responsible for communicating methods and results to stakeholders
Responsible for learning new data science techniques/algorithms/programming languages and exploring their viability on current projects
Will contribute to data science team discussions, providing insight as needed on current approaches and methods

Qualifications:

Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience
BS & 3+ years of work experience
MS & 1+ years of work experience
PhD

Experience and Skills

Proficient with machine learning and statistics
Proficient with Python, deep learning frameworks, Computer Vision, Spark
Have produced production level algorithms
Proficient in researching, developing, synthesizing new algorithms and techniques
Excellent communication skills
Participated in numerous data science projects
Utilized several data science methodologies
Researched and implemented new techniques
Have worked autonomously and delivered results on schedule
Have presented results to nondata scientist audience

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 beneficial

Preferred Education

Bachelors

Preferred Level of Work Experience

5 yearsHybrid 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.