Top Hybrid Data & Analytics Jobs
The Senior Machine Learning Engineer will design, develop, and deploy AI/ML solutions for clinical research, manage ML pipelines, and ensure optimal performance and compliance of ML models, collaborating with cross-functional teams and maintaining comprehensive documentation.
As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
As a Data Analytics Audit Consultant, you will engage in end-to-end data analysis for audit projects, utilizing tools like SQL and Tableau to extract, analyze, and visualize data. Your role includes collaborating with stakeholders, developing management dashboards, providing training, and enhancing internal audit processes through data-driven insights.
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The Data Governance Lead will design, implement, and maintain data governance strategies, enhance data literacy among employees, ensure data integrity and security, and lead change management efforts to promote effective data governance policies.
The Senior Data Scientist in Marketing Analytics will collaborate with the Marketing team to enhance the ROI of marketing initiatives through statistical modeling, machine learning, and data mining. Responsibilities include leading Media Mix Models, establishing marketing measurement frameworks, performing in-depth marketing performance analyses, and developing dashboards to communicate insights.
The Senior HRIS Analyst will support Oracle HR System operations, serve as a contact for issue resolution, and collaborate with IT for system enhancements. Responsibilities include developing reports, maintaining data integrity, conducting training sessions, and ensuring compliance with HR regulations.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
The Sr. Data Engineer in this role will design, develop, and integrate large-scale data applications on Google Cloud Platform, lead data pipeline automation and testing, and drive innovative data solutions for reporting and analytics while ensuring quality in an Agile environment.
The Operations & Strategy Analyst will be responsible for data analysis, building dashboards, and providing strategic recommendations to key stakeholders. They should have strong analytical skills, proficiency in SQL, and experience in a SaaS or high-growth tech company. This is a hybrid position, with 3 days per week in the NYC office.
The Data Scientist at Caterpillar Inc. will perform data analysis to support business decisions, develop statistical models, implement machine learning techniques, and create data visualizations. Responsibilities include optimizing data models, conducting data mining, and leading data analysis projects for product development initiatives.
Top hybrid Companies Hiring Data + Analytics Roles
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