Top Senior Data Science Jobs in Washington, DC

The role involves managing AI and Generative AI projects, leading teams, and leveraging advanced analytics to solve complex business problems, ensuring quality and client satisfaction.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

Lead customer software deployments and integrations, act as the technical customer-facing expert, prototype customizations, integrate customer data via REST APIs, and drive product requirements from customer feedback to ensure successful adoption and expand use cases.

As a Lead Data Scientist, you will analyze complex data sets, mentor a team, develop predictive models, and lead data science solutions for clients on global challenges across various sectors.

The role involves designing and implementing data science solutions, leveraging AI and machine learning, preparing data, creating visualizations, leading internal data initiatives, and collaborating with various teams to deliver impactful insights and drive decision-making.

The Senior Applied Data Scientist will develop scalable data solutions, leverage AI and machine learning for insights, and collaborate with cross-functional teams. Responsibilities include data preparation, model implementation, and client engagement.

Lead data science projects to analyze complex data and create algorithms, while advising clients to leverage insights for informed decision-making.

As a Senior Data Scientist, you'll analyze data to solve complex problems using machine learning and statistical methods. You'll lead projects, develop algorithms, and work closely with clients to derive insights from data.

As a Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients across various sectors. You will lead projects and mentor your team, focusing on machine learning and IoT solutions to tackle real-world challenges.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The role involves developing machine learning algorithms for cybersecurity, leading design of security data solutions, and managing security automation tools. Requires strong collaboration skills and a minimum of 5 years in ML or data science.

Seeking a Data Scientist with 5+ years experience to develop and fine-tune AI/ML solutions, focusing on large language models. Collaborate with engineering teams to deploy robust models in production while applying modern techniques.

Seeking a Senior Data Scientist to design, code, and improve models and algorithms, evaluate decision systems, and partner with teams to translate data into impactful behaviors.

The Senior Data Scientist will design AI solutions, collaborate on MLOps, and oversee development of machine learning models to enhance healthcare outcomes.

The Senior Data Scientist will develop data-driven products using machine learning and AI to enhance editorial content, recommending improvements and insights while collaborating with editorial and product teams.

Lead the development of AI solutions and systems to improve healthcare outcomes, managing data science strategies and collaborating with engineering teams.

The role involves leading AI/ML solution design, mentoring staff, collaborating with teams, and enhancing data-driven decision making.

Responsible for designing and developing personalization models, applying advanced data science techniques, and fostering innovation within the team. Develop large-scale data science systems and influence decisions with insights. Requires travel up to 10%.