Data Solutions Developer

hace 1 semana


España CHEP A tiempo completo

Data Solutions Developer (Python)
Data Solutions Developer (Python)
Apply remote type Hybrid Remote locations Madrid, Community of Madrid, Spain Weybridge, Addlestone, United Kingdom Manchester, Lancashire, United Kingdom time type Full time posted on Posted 18 Days Ago job requisition id JR18765
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
Our Asset Control function is seeking a Data Solutions Developer/Python Developer to assist with the continued implementation of new applications that can help us optimize the use of our assets (reduce losses, uncover patterns and anticipate issues).
You will work on automation and adjust solutions to regional requirements in partnership with different functions across Brambles.
You will be working with previously developed ML models to create a final application that meets CHEP regional needs coupled with any data analysis required to support implementations and/or changes.
Responsibilities

Responsible for implementing AI/ML solutions developed by the Advance Analytics team by developing, designing, and testing a final solution aimed to optimize the use of our assets.
Perform data analysis (What-If, Scenario and sensitivity analysis) to support any new implementation required.
Assess implementation effectiveness by conducting tests and simulations on large sets of historical data.
Communicate with project SMEs the implementation process, design and data analysis findings.
Develop software solutions using Python that fit regional business needs aligned with Asset Control Transformation program.
Work closely with all internal SMEs to understand requirements.
Ensure best practices implementation in order to improve service to the business.
Propose enhancements on new/current processes (standardization, usability, workload).
Identify potential risks and issues and ensure these are proactively flagged and resolved throughout program lifespan.
Communicate and document code changes following Asset Productivity and Control Intelligence guidelines (Jira, Confluence, BitBucket, etc).

Experience

5+ years professional experience in developing Python applications that implement machine learning models.
Expert knowledge of multiple programming languages including Python on UNIX and/or LINUX platforms.
Strong experience working with cloud platform providers like Amazon Web Services (S3, Athena).
Solid understanding of Version Control principles (Git).
Proven and successful track record in implementing Python solutions (Data pipelines, Software applications, etc).
SQL experience (Ability to read/write complex SQL queries).
Ability to perform high-level data analysis to inform business decisions.
Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
Experience working on remote teams.
Experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning).
Experience implementing new data solutions from scratch.
Experience using the Atlassian suite is highly valued.

Skills and Knowledge

Highly developed attention to detail.
Excellent problem-solving skills including the ability to analyse and resolve complex problems.
Strong oral communication skills.
Ability to work in a fast-paced environment.
Strong analytic skills.
Customer-oriented.
Flexible and able to work under pressure.
Diplomatic and sensitive when serving customers of a different mentality and culture.
Storytelling and data visualization.

Languages

English (Essential)
Spanish (Desirable)

Preferred Education
Degree and equivalent
Preferred Level of Work Experience
5 - 7 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.
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