Top Data & Analytics Jobs
Provide IT CSV support to implement and validate electronic systems in accordance with corporate policies and procedures. Collaborate with stakeholders for implementation and development changes. Review and approve documentation associated with validated computer systems. Engage in Quality process improvement initiatives. Provide guidance on compliance requirements for projects.
Field Applications Scientist at Biosero, Inc. focusing on implementing automation software for laboratory workflows in the life sciences industry. Responsible for understanding logistics, developing Green Button Go programs, collaborating with internal teams, and providing customer support. This remote position involves travel to customer sites for implementation and support.
The Data Science Product Portfolio Manager will manage data science product delivery, partner with clients, organize multi-project initiatives, and enable technical solutions. They will be responsible for translating business goals into product solutions, managing client expectations, and ensuring project success. The role involves driving novel data science approaches into high-value product offerings for clients.
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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.
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.
Seeking an Applied Scientist with 5+ years of experience in AI research, computer vision, deep learning, reinforcement learning or robotics. Responsibilities include working on complex real-world driving data, leveraging simulation, and contributing to academic publications. Must have thorough knowledge and expertise in AI technologies and be proficient in Python and Pytorch.
Lead the design, development, and implementation of innovative machine learning models for computer vision problems. Facilitate the development of robust and scalable machine learning infrastructure and operations. Collaborate with cross-functional teams to deploy ML models in production.
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.
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