Top Remote Data & Analytics Jobs

As a Data Engineer at Wealthfront, you will build and maintain core datasets, collaborate with various stakeholders, ensure data quality, design scalable data pipelines, and manage reporting tools, all to support data-driven decision making and automation within the company.

As an Operations Research Scientist at NVIDIA, you will develop analytics and optimization models for supply chain decision-making. Responsibilities include designing solutions, leading projects, applying statistical techniques, and conducting quantitative analysis to enhance profitability and market share for the business.

The Field Application Scientist will engage scientifically with customers in pre/post-sales by providing consultations, product demonstrations, and training. They will develop expertise in instrumentation, maintain knowledge of assays and workflows, and relay customer feedback to product management. A strong background in cell-based assays and data analysis software is required, and the role involves significant travel.

The Statistician will design and analyze experiments, provide statistical guidance across teams in product development, mentoring early-career peers, and ensure robust data-driven decision-making in diagnostics and device development. They will also support submission-related activities and manage multiple projects simultaneously while collaborating closely with scientists and engineers.

The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.

The Analytics Consultant will work closely with customers and internal teams to develop custom data solutions, provide industry insights, and ensure data quality. Responsibilities include assisting in experiments, creating visualizations, and enhancing product development based on analysis and customer feedback.

As a Field Data Collector, you will survey parking spots in Seattle by walking or biking through designated areas, counting available spaces, and documenting any errors using a mobile app. Your findings will help enhance parking data accuracy.