Data Scientist, Latam

hace 2 semanas

Tláhuac, Ciudad de México Brambles Group A tiempo completo

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:

Requirements:

Degree in Computer Science, Statistics, Mathematics, Engineering, or related fields.

At least 4 years of experience in a data science role.

Essential Technical Skills and Knowledge:

  • Experience in programming languages like Python or R.
  • Strong knowledge in statistics, mathematics, and machine learning algorithms.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Knowledge in SQL and NoSQL databases.
  • Experience with data visualization tools like Tableau or PowerBI.
  • Familiarity with big data platforms like Hadoop, Spark.
  • Experience using version control tools like Git.
  • Strong analytical and problemsolving skills.
  • Ability to work in a fastpaced and collaborative environment.
  • Excellent communication and presentation skills.
  • Can act under time pressure.
  • Strong analytic skills.
  • Strong programming skills(Python, R, etc)
  • Knowledge of major data science topics, models, and methods (from logisitic regression to advanced neural networks)
  • Design and develop advanced machine learning models and predictive analytics.
  • Collaborate with business teams to understand their needs and translate them into datadriven solutions.
  • Manage and process large datasets for analysis.
  • Implement best practices in data management and manipulation.
  • Present analysis results to nontechnical stakeholders.
  • Stay uptodate with emerging trends and technologies in data science and machine learning.
  • 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.
  • Ensure accuracy on predictions.
  • Ensure solutions created are aligned with LATAM strategy.
  • Ensure solutions are delivered on a timely manner.
  • Internal customers satisfaction.
  • Develop solutions in a scalable way, standard and automated.
  • Develop processes to efficiently manage data.
  • Data science model selection and implementation
  • Working autonomously
Preferred Education

Technical/Professional Qualification - Computer and Information Science

Preferred Level of Work Experience

  • 3 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.

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