Job Summary: We are seeking a Semi-Senior Data Scientist to join a strategic DataOps and MLOps project, documenting, standardizing, and preparing analytical models. Key Highlights: 1. Strategic project focused on DataOps and MLOps. 2. Collaboration in documentation and standardization of analytical models. 3. Ensuring reproducibility and quality of models in production. We are looking for a **Semi-Senior Data Scientist** with experience in **Python**, to join a strategic project focused on **DataOps and MLOps**. The selected candidate will collaborate on documenting, standardizing, and preparing analytical models for production deployment, ensuring their reproducibility, consistency, and quality across different environments. Responsibilities * Identify, document, and map **data model inputs and outputs**, including sources, formats, and frequency. * Document features, feature engineering processes, and technical dependencies (libraries, versions, configurations). * Support standardization and technical documentation of analytical models. * Collaborate with Machine Learning and MLOps engineers for cloud-based model preparation and deployment. * Apply data validation methodologies and consistency testing. * Analyze and document result discrepancies across environments, identifying root causes. * Propose technical adjustments to ensure model reproducibility. * Produce clear, reusable, and maintenance-oriented documentation. Essential Requirements * Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Systems Engineering, or related field (degree completed). * **Minimum 3 years of experience** in Data Science–related roles. * Experience working with **Python** and **notebooks (Jupyter)**. * Practical knowledge of preparing models for production. * Strong understanding of **reproducibility and versioning best practices**. * Intermediate-level **SQL** knowledge. * Proficiency in **Git** and Microsoft Office suite. * Language: Spanish. Desirable Requirements * Experience in projects involving **GCP (Vertex AI, BigQuery)** or **AWS (SageMaker)**. * Knowledge of software engineering best practices applied to Data Science. Skills and Competencies * High attention to detail and strong analytical thinking. * Ability to produce clear and structured documentation. * Customer orientation and results-driven mindset. * Autonomy, organizational skills, and ability to manage priorities. * Technical communication skills for collaborative work. * Continuous interest in technological updates and learning. Work Arrangement * **Hybrid** mode, with availability to attend in person in CDMX **twice per week**. Position Type: Full-time, Project-based or Fixed-term Contract Duration: 6 months Salary: $33,000.00 – $37,000.00 per month Benefits: * Food vouchers Application Questions: * Do you agree that this position is project-based? * What is your gross salary expectation in Mexican pesos? Work Location: Hybrid remote in 03230, Actipan, CDMX