Top Data & Analytics Jobs

The Senior Data Scientist will design, deploy, and manage predictive models using Machine Learning in the healthcare domain, working closely with Product and Data Engineering teams. This role involves mentoring junior scientists, improving strategies based on model outputs, and integrating automated MLOps processes while managing large projects with minimal oversight.

The Business Analyst collaborates with stakeholders to gather, analyze, and validate business requirements and administrative processes. Key responsibilities include documenting requirements, facilitating discussions, developing test plans, and managing project schedules. The role emphasizes effective communication, analytical thinking, and collaboration to enhance operational effectiveness and customer experience.

The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.

The Staff Machine Learning Engineer will lead the development and deployment of algorithms for robotic manipulation, including behavioral cloning and reinforcement learning. Responsibilities include collaborating with hardware and software teams, conducting simulations and real-world testing, and staying updated on advancements in robotics.

The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.

The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.

The Data (ETL) Architect will lead data management and migration projects focused on Salesforce.com and other cloud tools, develop and maintain data processes, assess risks, and convert client needs into data requirements with deep ETL expertise and strong communication skills.