Top Remote Senior Level Analytics Jobs

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Analytics Manager, Fraud and Risk develops a structured analytics program, creates roadmaps, transforms raw data into business insights, prepares detailed reports for leadership, manages incoming requests, enhances KPI reporting, and leads a team of analysts, all while ensuring accuracy and identifying process improvements.

The DFIR & Threat Hunting Researcher at CyberArk will conduct digital forensics and threat-hunting across the global network, including developing tools and methods to improve detection and response capabilities. Responsibilities include performing analysis on various evidence types, maintaining forensic tools, collaborating with the SOC team, and researching emerging threats.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

As a Senior Software Engineer/Data Scientist in the Autonomy Integration Team, you will analyze autonomous vehicle performance using statistical and machine learning methods, develop insights from large datasets, mentor team members, and establish best practices for data utilization while collaborating with various teams.