Remote Data Jobs • Mexico

We are looking for an experienced Data Engineer who uses various methods to transform raw data into useful data systems. The selected person will create algorithms and perform statistical analysis to drive efficiency, aligning data systems with business objectives.

We are seeking an LLM Algorithm Engineer (Safety First) to join our AI/ML team, with a focus on building robust AI guardrails and safety frameworks for large language models (LLMs) and intelligent agents. This role is pivotal in ensuring trust, compliance, and reliability in Binance’s AI-powered products such as Customer Support Chatbots, Compliance Systems, Search, and Token Reports.

This role requires a candidate to build and support non-interactive & real-time, highly available data pipelines. You will build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines. The candidate provides consultation and leads the implementation of complex programs. This role requires documentation, query tuning skills and performing root cause analysis.

Serve as a statistical department resource and mentor biostatisticians. Direct activities of other biostatistics personnel on assigned projects to ensure timely completion of high quality work. Provide support across all statistical tasks during the lifecycle of the project, from protocol to CSR. Prepare Statistical Analysis Plans, collaborate with sponsors if required to support the statistical analysis results of clinical trials.

Empower is seeking a highly analytical data scientist to manage the machine learning model development process for lending products in Mexico, from conception to deployment with stakeholders. This role involves creating model pipelines, technical development, business validations, implementation, and monitoring. The ideal candidate is passionate about using data and analytics to drive business growth.

Empower is seeking a dynamic Growth Analytics Manager to measure, attribute, and deploy advertising budget efficiently. The ideal candidate uses data and analytics to drive growth and improve customers' financial situations, collaborating across teams to deliver value. This role solves complex problems and is comfortable with technical tools.