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Top Hybrid Data & Analytics Jobs
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Quantitative Researchers at Belvedere Trading conduct analytical research and develop mathematical models for options pricing and trading methodologies. They collaborate with trading and technology teams to enhance operations and generate quantitative strategies by applying various statistical techniques to financial data.
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The Data Analyst will support patient experience teams by leveraging data to inform strategic decisions, measuring product performance, and developing business intelligence solutions. Responsibilities include leading analyses, building data availability, and collaborating with cross-functional teams to enhance member experience and growth KPIs.
The Senior Data Scientist will apply machine learning techniques to create models for business objectives, communicate complex results to stakeholders, perform data integrity checks, and collaborate on technical tools with the Lead Data Scientist. Role includes research and development of new statistical methods for continuous improvement.
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As a Data Scientist II at Grubhub, you will develop and enhance predictive machine learning models for delivery estimation and driver pay, collaborate with cross-functional teams, innovate using advanced tools like AWS and XGBoost, and contribute to MLOps excellence to improve operational metrics.
As a Part-Time Student in Data Science and Analytics at John Deere, you will lead and support analytics projects, clean and analyze data sets, and present findings to stakeholders. This role requires collaboration with a fast-paced team to deliver actionable business insights.
As a Senior Data Engineer, you will design and maintain robust data pipelines, integrate data into a Data Warehouse, optimize SQL queries, manage data models, and ensure data security. You'll collaborate cross-functionally to troubleshoot data-related issues and provide technical leadership within the team.
As the Director of Strategy Analytics & Operational Execution, you will lead initiatives to enhance customer journey by collaborating with cross-functional teams, providing insights through data analysis, overseeing reporting functions, and driving operational improvements that impact customer loyalty and business success.
As a Staff Software Engineer, you will enhance the Data & Analytics platform, leading technical projects that improve its scalability and resilience. You will also mentor engineers, guide architectural decisions, and collaborate with various teams to meet product growth needs.
As an Associate Scientist in R&D - Packaging Development at Kraft Heinz, you'll lead and support packaging development initiatives for various brands, managing projects from concept to commercialization, conducting experiments, and collaborating with cross-functional teams on sustainability, cost optimization, and brand maintenance.
The Data Engineer will build data pipelines and applications to support generative AI initiatives. Responsibilities include defining data requirements, executing ETL/ELT processes, designing and scaling data pipelines, optimizing internal processes, and working collaboratively with IT and business leaders to enhance data delivery.
Top hybrid Companies Hiring Data + Analytics Roles
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