Top Data & Analytics Jobs
Lead Data Scientist responsible for leading a team of data scientists and agronomic domain scientists, developing new models and prediction systems, researching innovative approaches and algorithms, collaborating with cross-functional teams, and working on data and AI strategies for the company.
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.
Featured Jobs
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.
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 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.
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