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Top Senior Level Data & Analytics Jobs in Washington DC,
As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.
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.
The Workday Data Senior Manager leads data conversion for complex clients, assists the sales team in RFP processes, oversees project needs, and supports recruitment and development of consultants. They ensure adherence to Workday methodologies, drive customer satisfaction, mentor team members, and manage data mapping and validation for accurate data conversion.
As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.
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 Program Success Enablement Analyst will manage projects related to the Demand to Renew initiative, ensuring effective change management strategies are executed. Responsibilities include maintaining schedules, tracking progress in Jira Align, creating mobilization plans, stakeholder management, and coordinating with regional leads for integration into project plans.
The Senior Manager, Analytics & Insights will lead the data pulling and reporting processes, create actionable insights from data analysis, and guide clients through findings. They will help establish the Analytics & Insights team and recommend tools while collaborating with marketing and PR teams.
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.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
The Staff Data Engineer at Wellth will design scalable data systems to process healthcare data, enabling advanced analytics and predictive modeling. They will lead the development of data pipelines, manage data sources, enhance data quality, and collaborate with various teams to align data strategies with business objectives.
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