Top Senior Level Data & Analytics Jobs in Washington DC,

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

The Lead Data Scientist will prepare high-quality datasets, perform analyses for decision-making, collaborate with product and engineering teams, and enhance the data infrastructure to support Stellar Health's healthcare improvement initiatives.

As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.

The Senior Quality Assurance Analyst will support automated and manual software testing for the DoD Navy MCC project. Responsibilities include writing test cases, maintaining test artifacts, executing various testing types, and collaborating with developers to manage defects and test scripts. The role emphasizes participation in sprint preparation and backlog grooming.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.

The Sr Data Analyst will analyze large-scale data sets to identify trends, metrics, and optimization opportunities. Responsibilities include data mapping, gathering requirements, resolving data quality issues, and providing analytical support across departments. The role also involves developing dashboards and reports, ensuring data accuracy, and collaborating with stakeholders and teams.

The Senior Product Data Analyst will analyze complex datasets using SQL and Python to provide insights for product development. Responsibilities include designing data visualizations, performing A/B tests, collaborating with stakeholders, and enhancing data collection methods. The role requires strong technical skills and the ability to communicate findings to both technical and non-technical audiences.