Top Data & Analytics Jobs
Senior Data Governance Engineer responsible for developing and implementing comprehensive data governance frameworks, collaborating with data domains, implementing data governance tools, conducting risk assessments, measuring effectiveness, providing training and support, staying updated on industry trends, and facilitating data governance committees. Requires 5 years of experience in data governance implementation and a Bachelor's degree.
Senior Data Governance Engineer responsible for developing and implementing data governance frameworks, collaborating with data domains, working with IT teams on data governance tools, conducting data risk assessments, measuring effectiveness of initiatives, providing training and support, staying updated on industry trends, and facilitating data governance committees.
Senior Data Governance Engineer responsible for developing and implementing data governance frameworks, collaborating with IT teams, conducting risk assessments, measuring effectiveness of initiatives, providing training and support, staying updated on industry trends, and facilitating data governance committees.
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Lead and manage a team of data scientists to develop scalable data science solutions with significant business value. Collaborate with business stakeholders, stay updated on industry trends, and foster a culture of collaboration and continuous learning. Requires 7+ years of experience and a Master's Degree or Ph.D. in a quantitative field.
Lead and manage a team of data scientists in Marketing Applied Sciences, developing scalable solutions and overseeing project execution. Collaborate with stakeholders, stay updated on industry trends, and foster a culture of collaboration and continuous learning within the team.
Lead and manage a team of data scientists to develop scalable solutions for the Marketing team, collaborate with stakeholders on high-impact analytics projects, stay updated on industry trends, foster a culture of collaboration and continuous learning within the team.
Lead a team of data scientists to develop and deploy statistical and AI/ML models for solving complex business problems in the marketing sector. Manage project delivery, collaborate with stakeholders, and drive innovation in data science techniques. Required qualifications include 7+ years of data science experience, 2+ years of team leadership experience, and a Master's Degree or Ph.D. in a quantitative field.
The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. They will collaborate with cross functional teams, design and engineer ML platforms, and lead the development of scalable ML data products.
Design, develop, and maintain data pipelines, databases, and data infrastructure. Collaborate with data scientists and stakeholders to ensure high-quality data availability for analysis. Build industrialized data assets and optimize data pipelines for Business Intelligence objectives.
Design, develop, and maintain data pipelines, databases, and data infrastructure to enable efficient data collection, storage, and analysis. Collaborate with data scientists and stakeholders to deliver innovative data solutions. Optimize data assets for Business Intelligence and Advanced Analytics objectives.
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