Empleos de Data Science

Volunteer role supporting research analysis and experiment design through statistical consultation, computational pipelines, and predictive modeling. The posting states that volunteer opportunities are unpaid at this stage and do not guarantee future employment or compensation.

Join a cybersecurity team developing and deploying machine learning and LLM capabilities to address complex security challenges. Work with data scientists, engineers, security researchers, and product managers from research and experimentation through production.

Own applied machine learning for recommendations and personalization, from behavioral data and model adaptation through production deployment and impact measurement.

Support research analysis and experiment design through statistical consultation, computational pipelines, predictive modeling, and collaboration on regulatory requirements. This is a volunteer, unpaid opportunity; any future compensated appointment is contingent on funding, approval, legal review,​

Join a personalization team to conduct data-driven research and bring machine learning models into production for real-time player experiences.

Build and deploy models that turn financial transaction data into customer insights. Work with Product and Engineering from problem evaluation through production and ongoing improvement.

An electro-optics and AI company is seeking a junior data scientist to manage data curation activities and develop tools for computer vision and machine learning workflows.

Lead a multidisciplinary data team building statistical and machine learning solutions for a digital intelligence platform. Own technical direction, team development, and collaboration across data, product, and R&D functions.

A software company is seeking an experienced Data Scientist to develop production machine learning solutions for internal business partners. The role combines data science, backend engineering, applied research, and stakeholder collaboration, with ownership from proof of concept through production.

Lead a multidisciplinary data science and machine learning team developing predictive models for continuous, non-invasive health monitoring. Own the full ML lifecycle from research and ideation through scalable production deployment.