Top Remote Data & Analytics Jobs

As a Data Operations Engineer at Podium, you'll manage data flow, optimize systems, and support engineering teams in using various data technologies, particularly Elasticsearch. You'll focus on performance tuning, automating infrastructure with Terraform and Ansible, and contributing to AI initiatives for local businesses. This role emphasizes collaboration and innovation in a fast-paced environment.

The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.

The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.

The Operations Analyst will support revenue operations by automating data transmission, maintaining SaaS applications, analyzing data trends, and collaborating with teams to enhance operational efficiency. This role involves documentation, report creation, and the implementation of scalable solutions for data management.

The Market Monitor - Economist conducts economic analysis and reporting on market performance and compliance, investigating market behavior and design issues. Responsibilities include designing monitoring systems, preparing analytical reports, and guiding other staff to enhance market efficiency and prevent market manipulation.

As a Principal Incident Response Analyst, you will lead incident response initiatives, manage critical security incidents, refine processes, and collaborate with cross-functional teams to enhance cybersecurity measures. You will also develop IR playbooks, direct team activities, and interact with C-Suite, focusing on continuous improvement of incident management.

As a Senior Data Scientist at Haus, you will build and deploy models, drive experimentation, and lead a team while collaborating with cross-functional teams to deliver meaningful insights for enterprise clients. You will enhance the GeoLift model and ensure high-quality results through rigorous statistical evaluations and innovative tools.