Top Data & Analytics Jobs in Washington DC,
The Senior GRC Analyst will execute engagements related to NIST and CIS frameworks, assess client governance, risk, and compliance programs, develop custom methodologies, and collaborate with offensive security teams. Responsibilities include delivering technical reports and staying updated on industry trends to enhance client security postures.
As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.
The Treasury Operations Analyst at Backflip will manage daily cash flows, conduct cash reconciliations, ensure compliance with internal policies for wire transfers, support the accounting team with payments, and implement process improvements. This role requires attention to detail, strong organizational skills, and the ability to thrive in a fast-paced environment.
The Sr MH&P Analyst will collaborate with stakeholders to implement projects and improve distribution systems and processes. Responsibilities include gathering requirements, researching MHE technologies, supporting project management, creating documentation, providing system expertise, and assisting with training and troubleshooting.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
As a Technical Product Manager at Stack Overflow, you'll lead initiatives within the Data Team, focusing on enhancing search performance through Machine Learning and Natural Language Processing. You'll work collaboratively with Data Scientists and Engineers to leverage unique data insights to improve developer experiences and product offerings.
This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.
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