Top Data & Analytics Jobs
As a Senior Data Engineer, you will develop analytics-driven solutions for GM organizations, build analytical datasets, collaborate with Researchers and Data Scientists, automate data processes, and adopt cloud-first technologies. The role emphasizes the use of data engineering best practices while fostering a culture of continuous learning within the team.
The Staff Data Engineer will collaborate with a multi-disciplinary team to design, develop, and deploy analytic models and data solutions for the Marketing Applied Sciences team. Responsibilities include building analytical datasets, driving cloud-first technology adoption, ensuring data engineering alignment, and fostering a culture of continuous learning and improvement within the organization.
The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.
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As a Data Scientist, you will work in a cross-functional team to develop predictive models and machine-learning algorithms, analyze data to discover trends, create CI/CD pipelines, and deliver insights through UI applications while monitoring model effectiveness.
Join a team of experienced individuals to drive advanced analytics solutions across the enterprise. Responsible for AI, Machine Learning, and Advanced Analytics projects to address critical business areas. Develop predictive models, analyze data, create CICD pipelines, and deliver insights to business clients.
As a Senior Data Security Engineer, responsible for developing and implementing data security strategies, conducting assessments, monitoring data security logs, collaborating with IT teams, and ensuring compliance with data security regulations. Additionally, providing security awareness training, participating in incident response planning, and maintaining documentation of data security policies and procedures.
As a Senior Data Security Engineer, you will ensure the confidentiality, integrity, and availability of data. Responsibilities include developing security policies, assessing vulnerabilities, monitoring security logs, and managing data access and encryption. You will also collaborate with IT and compliance teams to maintain security standards and conduct training.
The Senior Data Security Engineer is responsible for protecting the organization's data assets by developing and implementing security strategies, conducting assessments, monitoring security incidents, training employees, and ensuring compliance with regulations. This role collaborates with IT and compliance teams to mitigate risks and manage data security across the organization's infrastructure.
The Senior Data Engineer will develop data pipelines for monitoring high voltage battery systems, ensuring data quality and governance, collaborating with data scientists, and participating in analytics forums. This role supports GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion.
The Senior Data Engineer will design, build, and maintain scalable data pipelines for telematics data. Responsibilities include implementing data quality monitoring, collaborating with data scientists, overseeing data governance, and participating in analytics forums to enhance battery performance monitoring.
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