Founded in 2005 in Lisbon, agap2 IT is a European organization operating in the fields of Information Systems, Science and Technology. Our ability to act globally, combined with the team's extensive technical, functional and business expertise, ensures excellence in responding to the most demanding challenges.With the agapian spirit and values such as people development, entrepreneurship and social responsibility, more than just a project, you will have the opportunity to build a career tailored to you.Profile description:Academic background with an MSc or Ph D in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or a related field;5+ years of experience in Data Science;Strong ability to understand, clean, validate, and preprocess client-provided data;Proven experience in feature engineering, iterative model improvement, and parameter tuning to enhance model performance;Solid knowledge of Machine Learning concepts, including model training, testing, and overfitting prevention;Experience working with Big Data technologies such as Spark, Hadoop, and related ecosystems;Familiarity with tree-based algorithms (Random Forests, XGBoost, Light GBM);Proficiency in Bash, Python, and either Java or Scala;Experience collaborating with multidisciplinary stakeholders, including data scientists, engineers, and risk managers;Knowledge of statistics and data visualization is a plus;Knowledge of Deep Learning techniques is a plus;Fluency in English (mandatory);Spanish proficiency is a plus.Mandatory requirement: Living in Portugal or holding legal authorization to reside in Portugal.Our agapian benefits include:Health insurance;Life and personal accident insurance;Free training (technical, behavioral, and language) and technical certifications;Discounts platform across different sectors;Vodafone plan (mobile communications and broadband);Free access to nutrition, psychology, and general medicine consultations;Continuous and personalized career development support.At agap2 IT, we stand for equality and value diversity. We foster a safe and inclusive environment, where opportunities are equal for all employees.We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.All applications with the required skills for the role are welcome. Join us Show more Show less