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Top Hybrid Data & Analytics Jobs
The Program Analyst/Admin will assist the Department of Homeland Security by managing tasks from stakeholders, analyzing incoming tasks, maintaining documentation systems, and providing administrative support to PMO leadership. Responsibilities include organizing documents, evaluating reports, and improving administrative processes.
The Senior Data Scientist works within the DevOps Team to design and develop the Outage Management Ecosystem, incorporating predictive modeling, data integration, and analytics solutions. This role involves collaboration with business partners, maintenance of reporting applications, and ensuring system reliability. The individual will also conduct system testing and root cause analysis in a micro-service architecture on Kubernetes.
As the Lead Data Scientist, you will develop measurement frameworks, publish clinical studies, solve cross-functional problems, and educate the team on data analysis. You will manage large datasets, conduct statistical analyses, and integrate health data to improve the health outcomes of Medicare members.
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As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.
The Paid Social Analyst at Tombras will support media initiatives, analyze data, assist in paid social execution, and collaborate with team members to optimize paid media performance. The role requires a data-driven individual with strong analytical skills and a passion for digital marketing.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
The Data Modeler will design, implement, and maintain data models, create reports and dashboards using analytics tools, collaborate with stakeholders, and ensure documentation and best practices are upheld. This role requires extensive experience in data modeling and analytics, particularly with Amazon Redshift, QuickSight, and Power BI, within the financial sector.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.
As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.
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