Top Data & Analytics Jobs
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.
Seeking a Sr. Data Scientist to lead AI initiatives in the healthcare sector, develop machine learning models, analyze data, deploy AI solutions, and drive innovation and efficiency within the organization. Responsibilities include model development, healthcare applications, data analysis, collaboration, and mentorship.
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.
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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.
The Senior Business Intelligence Engineer will lead analytical projects to support strategic initiatives, develop business reporting tools, optimize performance through experimentation, and create automated reports and dashboards. They will analyze key metrics, ensure data integrity and communicate insights effectively, contributing significantly to business decisions.
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.
As a Power BI Principal Consultant, you will be responsible for building complex dimensional data models and reports, auditing existing Power BI efforts, visualizing data stories, producing KPIs, collaborating with clients' data teams to engineer data solutions, providing skills training, and developing and implementing Power BI solutions. The ideal candidate will have exceptional communication skills, project management experience, intermediate or better proficiency in DAX, working knowledge of Power Query, experience visualizing data in Power BI Desktop and Service, and a solid understanding of dimensional modeling concepts.
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 Senior IMS Mainframe DBA is responsible for creating, maintaining, designing, monitoring, and troubleshooting client databases in IMS environments. They perform database upgrades, administration, tuning, backups, restores, and optimizations to support customer needs. The role also involves working with vendor personnel, developing and implementing database recovery mechanisms, and coordinating security measures.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
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