About TMC At TMC, we work with professionals who enjoy turning data into insight, impact and better decisions. Through our Employeneurship model, we combine long‐term stability with autonomy, continuous learning and the opportunity to work on international projects where analytical rigor and real‐world impact matter.Project Overview We are looking for aData Scientistto design, develop and validate analytical and machine learning solutions that support concrete business use cases. In this role, you will work from data exploration to model evaluation and delivery, collaborating closely with data engineers, product teams and business stakeholders. The focus is onreliable, explainable and production‐ready analytics, not isolated experimentation.What We're Looking ForCore Data Science Skills Strong proficiency inPythonfor data analysis and modeling Advanced experience withpandas ,NumPyandscikit‐learn Solid practice inExploratory Data Analysis (EDA)and feature engineering Strong foundations instatistics and probability, including: Hypothesis testing Statistical inference Distributions and sampling Proven experience building and evaluatingmachine learning models Supervised and unsupervised approaches Hyperparameter tuning and model comparison StrongSQLskills for data exploration and analysisModel Evaluation & Experimentation Clear understanding of validation strategies: Cross‐validation Appropriate metrics selection Overfitting and generalization Experience tracking experiments and results (e.g.MLflow ,Weights & Biases, or similar tools) Good understanding of reproducibility and model lifecycle management Basic familiarity with deep learning frameworks ( PyTorchorTensorFlow ) is a plusPlatforms & MLOps Awareness Experience working with data and models incloud environments Familiarity with platforms such asAWS ,AzureorGCPfrom a data science perspective Understanding ofMLOps fundamentals : Model versioning Registry concepts Deployment and monitoring lifecycleAnalytical & Engineering Mindset Approaches problems in a structured and methodical way Strong focus on data quality, robustness and explainability Chooses appropriate techniques based on context and value Comfortable working end‐to‐end, from raw data to delivered insight Understands trade‐offs between performance, interpretability and operational constraintsSoft Skills Strong analytical thinking and problem‐solving capabilities Ability to explain technical insights to technical and non‐technical audiences Clear, proactive and effective communication style Collaborative mindset when working with multiple data and engineering teams Strong sense of ownership across the full analytical lifecycle Adaptability to new data, requirements and business scenarios Professional proficiency inEnglish (B2+)Why Join TMC? International projects across multiple industries Employeneurship model — stability with autonomy and growth Continuous learning, mentoring and certification support Community of data scientists, data engineers and ML specialists Growth opportunities toward advanced analytics, ML engineering or data leadership roles