Top Senior Level Data Science Jobs in Washington DC,

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

Engage with senior leadership to provide analytics and insights on business performance, competitive analysis, and metric trends. Conduct exploratory data analysis to uncover insights that drive strategic decisions. Prepare and present reports and dashboards for senior-level audience. Develop and maintain operational models and data pipelines. Implement automated reporting solutions to streamline data analysis and presentation. Manage data and analysis requests from Investor Relations, Finance leadership, and executives.

The Sr. Research Scientist will analyze and improve Yahoo's back-end systems by developing advanced stochastic streaming algorithms. Responsibilities include translating scientific algorithms into prototype code, collaborating with product teams to enhance data analysis, publishing research findings, and ensuring data quality in assigned areas.

As a Senior Revenue Operations Analyst, you will optimize revenue processes, guide stakeholders on best practices for sales and marketing, develop reports and dashboards, ensure data integrity, and lead revenue forecasting initiatives. Collaboration with cross-functional teams and hands-on experience with analytics tools is crucial for success.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

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 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.