Top Remote Data & Analytics Jobs

Design and govern enterprise Salesforce data models, migrations, integrations, and governance. Ensure data quality, security, analytics readiness, and support Data Cloud, Customer 360, and AI use cases across complex ecosystems.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Conduct statistical analysis on market data to create predictive trading models and strategies, encompassing research and development cycles in equity trading.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Lead data engineering efforts, manage data governance, ensure compliance, and oversee data platform economics while designing scalable systems.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.