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.
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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.
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.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
The Procurement Analyst will be responsible for analyzing inventory levels, preparing buy recommendations, creating and maintaining purchase orders, and managing orders. They will also be responsible for maintaining a calendar of procurement activities, managing indirect supply purchasing, and assisting with reporting and projects. The ideal candidate will have a keen eye for detail, excellent communication skills, and be able to work well under pressure.
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