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Top Hybrid Data & Analytics Jobs
As a Senior Data Manager at PNC, you will manage organizational data, establish policies for information management, and ensure data quality for effective decision-making. The role involves collaboration with product owners to deliver data services and maintaining data integrity while providing leadership in data governance initiatives.
The Research Analyst is responsible for sourcing, screening, and vetting expert witness candidates for legal cases, building relationships with experts, conducting research, and delivering recommendations to attorney clients. The role requires excellent communication skills, detail-oriented work, and the ability to juggle multiple cases and deadlines.
The Senior Staff Data Engineer will design and build data pipelines and products within the Customer Information Management team, integrating complex data sets for analytics, mentoring junior engineers, and collaborating across teams to implement data engineering best practices.
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The Packaging and Integration Scientist will develop and characterize semiconductor manufacturing processes for high-speed mixed signal electronics. Responsibilities include assisting in chip-level integration, conducting influential analyses, and developing relationships with vendors. The candidate will also present research findings and work collaboratively with technical teams.
As a Data Security Analyst, you'll support global data security technologies, focusing on data protection controls and operational workflows. You'll work with data security technicians to discuss requirements, administer security for data-at-rest and in-motion, analyze data for anomalies, implement data classification, and utilize DLP and DRM tools.
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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.
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.
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