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Top Senior Level Data & Analytics Jobs in Washington DC,
The SVP of Data Solutions will provide strategic leadership for the company's data solution portfolio, focusing on healthcare economics and commercial analytics. Responsibilities include managing day-to-day operations, overseeing the expansion of data functions, collaborating with executive leadership, maintaining compliance, and ensuring optimal performance and communication with stakeholders.
As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.
The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.
The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.
As a Data Architect, you will lead data architecture initiatives, design database systems, set reference architecture, and ensure compliance with development standards. Your role includes collaborating with stakeholders to create effective data solutions, mapping data, and managing data governance for quality and scalability.
The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Senior Data Scientist at AG1, you will design and manage data models and pipelines for business analysis and reporting, mentor team members, ensure data integrity, and collaborate with cross-functional teams to drive impactful data solutions, enhancing the company's analytical capabilities.
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