Top Senior Level Data & Analytics Jobs in Philadelphia, PA
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
As a Senior Data Scientist, you will define marketing strategies, set KPIs, improve marketing measurement, analyze data trends, and create lead scoring models to enhance user acquisition and retention efforts.
As a CX Operations Data Analyst III, you will utilize data to answer business questions, partner with various departments for optimization, conduct analyses to enhance customer journeys, and collaborate with Data Engineering to integrate data channels. Your role will focus on driving data-driven decisions and improving the customer experience.
The Senior Issues Management Analyst manages a pipeline of issues and process improvements, performing root cause analysis, proposing solutions, and ensuring timely resolution. Responsibilities include documenting issues, facilitating meetings with stakeholders, and partnering with business owners to remediate issues while maintaining compliance and mitigating risks.
The Senior Pricing Analyst will analyze and develop pricing strategies for digital solutions, collaborating with sales, finance, and marketing teams. Responsibilities include conducting market research, creating pricing models, optimizing profitability, and monitoring pricing performance across the CHEP North America organization.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
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