Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services. Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments. Design and implement solutions from scratch.

Work closely with Product Insurance to build, improve and implement data ETLs and analysis. Apply statistical and machine learning techniques on large datasets. Evaluate the utility of non-traditional data sources.

We are seeking a hands-on Manager to lead our team of Data Scientists and Data Engineers providing leadership, mentorship, and project management, while serving as a key liaison between the team and stakeholders across the company. This role requires a blend of technical expertise, strategic vision, and excellent communication skills to drive data-driven decision-making and innovation.

The Data Scientist will analyze labor market trends, workforce dynamics, and economic patterns, involving cleaning, organizing, and interpreting large-scale datasets to develop innovative models and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking and apply core machine learning methodologies. This position requires a collaborative mindset to work cross-functionally.

As a Sr. Risk Data Analyst, you'll transform raw data into actionable intelligence, applying your expertise in SQL, Python, and Tableau. Use statistical modeling and machine learning to solve risk challenges, develop early warning indicators, and communicate findings to influence key decision-making in a fast-paced environment, continuously expanding your risk management expertise.

As a trusted advisor, collaborate with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs. Responsibilities include designing customer-centric solutions, building long-term relationships, delivering technical presentations, and collaborating with engineering and product teams.