Data Scientist

Data Scientist Location Mexico-Remote Full-Time or Long term contract Tools: ML Flows, AWS tools (Sagemaker or Bedrock), Python 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 field 2-4 years of relevant, proven experience building and deploying machine learning models; experience within the insurance industry a plus Experience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc) is preferred Proficiency 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 SQL Experience in creating and integrating APIs for model deployment Demonstrated ability to translate business problems into ML solutions Familiarity with data visualization tools (Power BI) is a plus Demonstrated experience innovating and extracting insights from multiple data types including unstructured data. Strong communication skills Ability to quickly and efficiently adapt to new concepts and changing project scopes Ability to thrive in a remote team environment

Location: Mexico, MX

Posted Date: 11/17/2025