Data Scientist ( Machine Learning )

Looking for candidates in Mexico.Data Scientist with Tech stack: AWS, Python, SQL and Machine LearningPosition - Data Scientist ( Machine Learning )Location - Remote (Mexico) Duration - Long Term Contract Job Summary:We are seeking a highly skilled and experienced data scientist who will be responsible for applying AI & ML solutions to complex business problems in the insurance space. Become part of a driven remote team working on a variety of data science initiatives, from classic machine learning to applying the latest advancements in generative AI. Key Responsibilities:· Own the ML lifecycle for designated projects, from scoping and data prep to model development, validation, and handoff for deployment; follow our established AI/ML workflow and documentation templates· Develop robust machine learning models and implement clean, testable Python code using libraries such as pandas, scikit‑learn, and PyTorch/TensorFlow as needed· Design and execute SQL queries to profile, join, aggregate, and validate large datasets in Snowflake· Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure· Package models using Docker and deploy via CI/CD pipelines.· Use AWS services like SageMaker and Lambda for scalable deployment.· Monitor model performance and automate retraining workflows· Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability· Use monitoring tools (Streamlit, Power BI) to track model drift and accuracy.· Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations· Create dashboards using Power BI or similar tools.· Write clear documentation and executive summaries.· Present findings in stakeholder meetings and webinars.· NLP/text analytics (e.g., document classification, summarization) and contribute to light GenAI use cases (prompting, evaluation, and retrieval where appropriate) Qualifications:Bachelor’s Degree or higher in machine learning, computer science, mathematics, statistics, information systems, or similar quantitative field2-4 years of relevant, proven experience building and deploying machine learning models; experience within the insurance industry a plusExperience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc) is preferredProficiency in writing production-quality, scalable code using Python; experience with scikit-learn, PyTorch, TensorFlow, huggingface, Keras, etc.Strong working knowledge of MLFlow, Docker, Git, and SQLExperience in creating and integrating APIs for model deploymentDemonstrated ability to translate business problems into ML solutionsFamiliarity with data visualization tools (Power BI) is a plusDemonstrated experience innovating and extracting insights from multiple data types including unstructured data.Strong communication skillsAbility to quickly and efficiently adapt to new concepts and changing project scopesAbility to thrive in a remote team environment.