Top Remote Data & Analytics Jobs in San Diego, CA

As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.

As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.

The Lead IT Data Scientist will design and develop scalable AI and machine learning solutions, conduct research, and utilize big data tools to enhance health outcomes. Responsibilities include leading model development, data analysis for business decisions, ensuring data quality, and deploying models with CI/CD practices. The role requires collaboration with internal customers to meet AI/ML needs and communicating findings to non-technical partners.

The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.

Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.

The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.