PLURALIT Inclusive Technology: Let's grow together!
At PLURALIT, we connect Latin American talent with challenging projects across Europe, the UK and the US 🌍.
Our reputation is built on delivering the best talent in the industry. We offer a unique working environment that provides opportunities for growth, professional development and the potential to relocate abroad.
We believe in the power of partnership and work closely with our clients to deliver long-term value and support the careers of our team.
We are an inclusive and motivated bunch of people, driven by complex challenges.
Join us and be part of the #pluralitexperience! 🙌🏽
THE POSITION
You will join a growing analytics team dedicated to transforming data into actionable insights and predictive intelligence. In this role, you’ll work on forecasting, regression, and classification challenges using modern data science methodologies and cloud-based environments.
You’ll take ownership of the full lifecycle of data science initiatives—from data preparation and feature engineering to model development, evaluation, and communication of results—helping business stakeholders make informed, data-driven decisions.
RESPONSIBILITIES:
Conduct end-to-end data preparation, wrangling, and transformation using Python and SQL.
Design, train, and validate predictive models for forecasting, regression, and classification use cases.
Develop and test advanced machine learning algorithms and feature engineering strategies.
Utilise frameworks such as XGBoost or LightGBM for performance optimisation.
Collaborate with engineering teams to integrate models into production and ensure scalability.
Communicate and present analytical findings to both technical and non-technical stakeholders in a clear and actionable way.
Maintain documentation, reproducibility, and best practices across all stages of the data science workflow.
TECHNICAL REQUIREMENTS:
Must have:
Degree in Statistics, Computer Science, Mathematics, or a related field.
Advanced proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
Experience in forecasting models, regression, and classification techniques.
Hands-on experience with gradient boosting frameworks (e.g., XGBoost, LightGBM).
Familiarity with cloud environments (preferably Google Cloud).
Strong analytical and problem-solving skills.
English level: B2 or higher.
Preferred Qualifications:
Experience deploying ML models to production or applying MLOps principles.
Knowledge of CI/CD, Docker, or similar containerization technologies.
Previous exposure to industries such as retail, finance, or logistics.
ABOUT YOU:
Strategic, pragmatic, analytical, and technical thinking.
Outstanding management and interpersonal skills.
Enjoys and feels motivated towards solving problems.
Being result-oriented and capable of taking a step back to look at the bigger picture.
Innovative mindset and proactivity.
WHAT DO WE OFFER YOU?
We offer you a unique opportunity to elevate your career with a world-class international experience at the forefront of digital transformations.
You will boost your credentials in a high-growth international work environment that fosters entrepreneurship and innovation.
CONDITIONS
100% remote.
Work-life balance