Data Scientist, Latam
hace 1 mes
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
Position Purpose
CHEP LATAM is seeking a Data Scientist to assist with continued development and implementation of data-driven optimization strategy for the region. The Data Scientist will work cross-functionally with teams across LATAM to develop automated advanced tools leveraging advanced data analytics techniques (algorithms to predict indicators evolution, diagnose issues and optimize current processes). The scientist will be working with large sets of structured and unstructured data (internal and external) to perform analysis, develop tools and provide actionable insights.
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 LATAM strategy.
- Responsible for developing new organisational capabilities aimed at proactively monitoring the external environment, using this information to assess implications and strategic options for our business, and recommending appropriate competitive and commercial strategies.
- 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.
- Translate business requirements in visual dashboards using Power BI.
- Ensure best practices implementation in order to improve service to business stakeholders.
- Propose enhancements on new/current reports (standardization, usability, workload).
- Automate tools in order to provide output in a timely manner.
- Support BI team in current processes: automation, development, reporting.
Qualifications
- Technology related degree and/or a minimum of 4 years working experience in a similar role.
Experience
- Previous reporting/business intelligence experience.
- Worked with measures and KPIs.
- Working on remote teams.
- Proved experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning).
- Experience with process automation and workload reduction.
- Experience implementing new software from scratch.
- Experience with change management.
- Experience with software development (programming).
- Databases knowledge (SQL).
- Experience working with commercial BI tools (desirable Power BI).
- Python skills.
- Experience deploying projects using machine learning.
- Proficient using Microsoft tools: Excel, Access, Word, Power Point, Visio.
Languages
Fluent in Spanish & English
Preferred Education
Technical/Professional Qualification - Computer and Information Science
Preferred Level of Work Experience
3 - 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.
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