Top Senior Level Data Science Jobs in Washington DC,

The Senior Level Energy Programs Scientist will support sustainable energy development and improve energy sector performance by managing legal, regulatory, operational, and financial aspects. Responsibilities include fostering clean energy, addressing energy poverty, governance, and security while assisting the Federal Agency's missions, particularly in post-disaster recovery and enhancing private sector investment in energy services.

The Senior Data Scientist at Resonate will develop and deploy machine learning models and neural networks at scale to deliver predictive analytics across various domains. Collaborating with ML engineers, your role involves building data pipelines, ensuring model governance, and fostering innovation within the product team while maintaining ethical machine learning practices.

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

The Staff Data Scientist will develop and validate predictive models using advanced machine learning techniques to facilitate fraud detection. This role involves conducting research on emerging modeling technologies, improving processes through MLOps, and collaborating with cross-functional teams to deploy models. Additionally, the role requires managing model risks and conducting analytical analyses for client inquiries.

The Senior Data Scientist will analyze complex data sets, deliver actionable insights, and develop strategic plans. Responsibilities include managing databases, applying statistical analyses, and collaborating with teams to address data-related challenges.

The Director of Data Science & AI will lead a team in producing advanced analytics and AI solutions, support strategy implementation through data mining and predictive modeling, and ensure effective communication of complex data insights. Responsibilities include driving AI advancements, collaboration with product teams, and applying innovative data science practices to enhance business applications.

The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.