Top Hybrid Data Engineer Jobs
As a Sr Manager of Data Science, you will lead a team to develop and execute data science projects, employing analytics to enhance customer experiences and drive product innovations in retail technology. Your role will involve collaboration with various stakeholders, establishing product visions, and analyzing data to generate actionable insights.
The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.
As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.
The Facilities Systems & Data Analysis Staff is responsible for partnering with various stakeholders to develop solutions for the Facilities Directorate, analyze technical requirements, design effective processes, and optimize system resources across multiple technical areas.
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The Senior Database Engineer will build and maintain highly available relational database systems across cloud and on-premise environments, applying software engineering principles to enhance operational efficiency and reliability, and ensure database infrastructure is available 24/7.
The Senior Database Engineer will build, deploy, and maintain highly available relational database systems across cloud and on-premise environments. Responsibilities include leveraging software development for database infrastructure, performing performance tuning, and ensuring 24/7 availability of services.
Lead a team of machine learning engineers in developing a personalized video recommendation engine. Responsibilities include defining system architecture, conducting A/B testing, performing design reviews, and optimizing performance metrics to improve the recommender system.
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The Analytics Engineer will enhance the data capabilities of analysts and stakeholders by architecting data models, building data pipelines, improving data governance, and providing training. Key responsibilities include monitoring data health, developing analytic frameworks, and standardizing data processes across various domains like growth and finance.
The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.
The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions. They manage risks, lead code reviews, develop data integration solutions, and participate in agile ceremonies, while mentoring peers and influencing technical decisions across teams.
As the Principal for Alternative Data Products, you will drive the strategy and development of products leveraging alternative data for underwriting and risk assessment. Your responsibilities include sourcing diverse data, managing product roadmaps globally, ensuring regulatory compliance, and enhancing existing product offerings based on market trends and customer needs.
Looking for a Data Engineer to create solutions for Apex Compliance and Regulatory team using next generation cloud-based data platform. Responsibilities include designing, developing, and deploying solutions on large scale trading data, building reporting infrastructure, and delivering data sets to regulatory entities and vendors.
The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.
As a Senior Manager, you will oversee multiple projects, ensure the accuracy of clinical data, and manage operational activities within your division. You will guide your team in developing data management plans, implementing quality data capture solutions, and anticipating talent development needs. Your role is critical in achieving project objectives and promoting knowledge sharing across teams.
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