Top Data & Analytics Jobs
As a Data Engineer, you will work with AI teams to operationalize data pipelines and machine learning tasks, while supporting the deployment of Python-native ML pipelines, data preparation, and maintenance of data architecture for AI/ML capabilities. You will present results to diverse audiences and support technical advisory services for identity management technologies.
As a Flavor Scientist, you will design and test innovative flavor formulations for electronic nicotine delivery systems. You will evaluate flavors and raw ingredients, collaborate with cross-functional teams, and maintain documentation and lab equipment. Your role requires hands-on laboratory work and a strong understanding of flavor ingredients to meet product development goals.
The Sr Level Data Engineer at HARAMAIN SYSTEMS INC. will design and maintain scalable data pipelines, develop complex queries, ensure data quality, and support teams with their data infrastructure needs. This role involves both technical and collaborative responsibilities, focusing on big data systems and architectures.
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The Business Intelligence Analyst will support reporting and business intelligence efforts across multiple business units. Responsibilities include developing and maintaining dashboards, improving KPIs and metrics, automating processes, and partnering with business leaders to identify growth opportunities.
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The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.
The Sr. Data Engineer/Data Architect will design, build, and deploy efficient data pipelines, optimize existing pipelines, and ensure data quality. Responsibilities include collaborating with various stakeholders, improving data movement frameworks, and implementing CI/CD practices.
The Application DBA will manage and optimize SAP databases, ensuring performance, reliability, and security. Responsibilities include database administration, performance optimization, backup/recovery, security implementation, troubleshooting, collaboration with teams, automation of management tasks, and ensuring compliance with regulations.
As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.
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