Top Data Science Jobs in Washington, DC

As an Intelligence Analyst, you will assess military activities and regional conflicts, producing high-quality intelligence assessments on Asia Pacific issues, particularly focusing on Chinese military capabilities and operations in the South China Sea.

The Director of Field Engineering will lead pre-sales teams to drive customer engagement and deliver value with Databricks solutions, focusing on growth and strategy.

Seeking Patent Prosecution Associates with 2-4 years of experience and a technical background in engineering or science to assist in patent cases.

As a Summer Associate, you will assist in defining client strategies, support IT initiatives, and work on critical project teams using Gartner’s insights.

Seeking an eDiscovery Associate to manage electronic data in litigation, utilizing analytics and technology for workflow efficiency and risk mitigation.

As a Product Manager, you'll lead the letter management platform development, oversee automation processes, and enhance user satisfaction through efficient workflows in healthcare communication.

The Distinguished AI Advisor will bridge AI vision with Okta's security offerings, leading strategy and customer engagement in AI-driven identity solutions.

Lead and manage Data Science and Machine Learning Engineering teams, driving AI/ML strategic vision, overseeing model lifecycle, and developing scalable solutions across industries.

Lead a team in developing AI solutions, drive advancements in AI within the mortgage industry, and oversee data science techniques implementation.

The Senior Developer Relations Manager will engage with developer ecosystems in life science data platforms, drive adoption of NVIDIA technologies, and collaborate with partners to tackle technical challenges and promote solutions.

Lead data science and machine learning initiatives, bridging technical infrastructure with business goals, managing teams, and ensuring project delivery.

Lead analytics projects in healthcare, leveraging SQL and Python to develop impactful data-driven solutions, mentor teams, and communicate insights effectively.

Support a financial regulatory client by developing data pipelines and analytics solutions, performing data analysis and statistical modeling using programming languages in an AWS environment.