About TMCAt 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 OverviewWe are looking for a Data Scientist to 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 on reliable, explainable and production-ready analytics, not isolated experimentation.What We're Looking ForCore Data Science SkillsStrong proficiency in Python for data analysis and modelingAdvanced experience with pandas, NumPy and scikit-learnSolid practice in Exploratory Data Analysis (EDA) and feature engineeringStrong foundations in statistics and probability, including:Hypothesis testingStatistical inferenceDistributions and samplingProven experience building and evaluating machine learning modelsSupervised and unsupervised approachesHyperparameter tuning and model comparisonStrong SQL skills for data exploration and analysisModel Evaluation & ExperimentationClear understanding of validation strategies:Cross-validationAppropriate metrics selectionOverfitting and generalizationExperience tracking experiments and results (e.g. MLflow, Weights & Biases, or similar tools)Good understanding of reproducibility and model lifecycle managementBasic familiarity with deep learning frameworks (PyTorch or TensorFlow) is a plusPlatforms & MLOps AwarenessExperience working with data and models in cloud environmentsFamiliarity with platforms such as AWS, Azure or GCP from a data science perspectiveUnderstanding of MLOps fundamentals:Model versioningRegistry conceptsDeployment and monitoring lifecycleAnalytical & Engineering MindsetApproaches problems in a structured and methodical wayStrong focus on data quality, robustness and explainabilityChooses appropriate techniques based on context and valueComfortable working end-to-end, from raw data to delivered insightUnderstands trade-offs between performance, interpretability and operational constraintsSoft SkillsStrong analytical thinking and problem-solving capabilitiesAbility to explain technical insights to technical and non-technical audiencesClear, proactive and effective communication styleCollaborative mindset when working with multiple data and engineering teamsStrong sense of ownership across the full analytical lifecycleAdaptability to new data, requirements and business scenariosProfessional proficiency in English (B2+)Why Join TMC?
International projects across multiple industries