Data Scientist / Machine Learning (Semi-Senior) – Python (Hybrid, CABA)

Description

Job Summary: We are seeking a Semi-Senior Data Scientist to join advanced analytics and machine learning projects, participating in the full lifecycle of data solutions. Key Highlights: 1. Participate in the full lifecycle of data solutions 2. Collaborate with multidisciplinary teams 3. Develop predictive models **Data Scientist (Semi-Senior) – Python** ----------------------------------------- Buenos Aires (Greater Buenos Aires North Zone – San Isidro) \| Hybrid Full\-time About the Role We are looking for a **Semi-Senior Data Scientist** to join advanced analytics and machine learning projects, working with large volumes of data and predictive models. The role involves participation across the entire data solution lifecycle: from analysis and modeling to validation and deployment, collaborating with technical and business teams. Your Responsibilities * Analyze data and develop **Machine Learning** models * Clean, process, and transform data for use in models * Participate in the design and development of analytical solutions * Execute tests and validate results (models and data) * Collaborate with multidisciplinary teams * Communicate results clearly to stakeholders * Participate in the deployment and continuous improvement of solutions What We’re Looking For * Experience in **Data Science / Machine Learning (2–4 years)** * Experience working with **Python** * Knowledge of: + data processing and analysis + development of predictive models * Experience working with data in real-world environments * Strong communication skills * Ability to work effectively in a team We Especially Value * Experience in cloud environments (ideally Azure) * Knowledge of AI/ML tools (Azure ML, OpenAI, etc.) * Experience in model testing and validation * Experience in industries such as energy or operations Work Modality * Hybrid arrangement (2 days onsite) * Location: Greater Buenos Aires North Zone (San Isidro) * Remote candidates from other regions are welcome * Candidates with hybrid availability will be prioritized Benefits * Career development plan and training programs * Private health insurance (prepaga) * Birthday leave day * Connectivity allowance * Discounts on education and training Note This role combines analysis, development, and validation of models; therefore, we seek candidates interested in participating across the entire data solution lifecycle. Application * If this is the right opportunity for you, apply directly here. * If not, please share it with your colleagues!