The Staff Data Scientist will design and optimize AI models utilizing diverse data modalities. Responsibilities include collaboration with engineers, model deployment, and keeping up-to-date with advancements in AI and Computer Vision.

As a Business Analyst, you'll develop analytical models to help clients save costs, synthesizing complex data into presentations and working with clients to address their business challenges.

Lead impactful projects at the intersection of analytics and AI, guiding customers through SaaS implementations and mentoring teams for success.

Lead customer support operations, diagnose technical issues, coordinate across teams, and implement scalable support processes to enhance service quality.

Manage projects from initiation to completion, ensuring they are delivered on time and within budget. Collaborate with teams on analytics solutions and SaaS implementations, while mentoring junior team members.

The Senior Business Analyst will develop analytical models, work with clients to solve business problems, and present insights that drive decisions, ensuring value from AiDASH products.

As a Staff AI QA Engineer, you will ensure quality and reliability in AI/ML models, develop automated test suites, and validate models under various conditions.

The Principal Data Scientist will lead storm model development, assess risks, and collaborate on actionable insights for disaster responses using AI/ML and remote sensing data.

Lead the development of wildfire catastrophe models and collaborate with teams to provide actionable insights through analysis of remote sensing data.

The role involves designing and optimizing DevOps solutions, managing cloud infrastructure, CI/CD pipelines, containerization, monitoring, and ensuring security and compliance.

Design, develop, and deploy scalable distributed backend systems, improving performance and reliability while collaborating with various teams to optimize workflows.

Design and develop web applications using AiDash platform; create products/features, write efficient code, and collaborate with product managers and designers.