Top Data & Analytics Jobs

The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.

As a Senior Data Engineer at Fox Corporation, you will lead the creation and implementation of data pipelines and platforms that provide insights for the business. Responsibilities include aligning engineering roadmaps with cross-functional teams, ensuring data quality, and developing data products and tools to enhance analytics capabilities across the organization.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.

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.

The Sr. Data Scientist will develop, implement, and optimize machine learning and generative AI models, focusing on healthcare applications. Responsibilities include model value analysis, data strategy development, data preparation, and production deployment of AI solutions, while mentoring junior data scientists.

This role involves conducting research in AI applied to autonomous driving, focusing on reinforcement learning and model-based algorithms. Responsibilities include developing advanced models and learning algorithms, leveraging real-world driving data, and contributing to academic publications. You'll be part of a team that works on complex challenges in perception, prediction, planning, and control for vehicle navigation.

Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.