Top Data Science Jobs in Washington, DC

The Senior Management Consultant will provide consulting support to the USACE Hydropower Program, focusing on operational activities, contract execution, program management, and ensuring compliance with strategic and business requirements. The role requires expertise in the electric utility sector and familiarity with data insights in hydropower generation.

The SME will develop a technology strategy, manage data governance and analytics, explore AI and machine learning applications, protect against cybersecurity threats, and engage with stakeholders to meet technology needs. They will also evaluate ethical implications of AI technologies and communicate technical concepts effectively.

As the AI & GenAI Data Scientist-Manager at PwC, you will lead advanced analytics projects, leveraging data to drive insights and inform business decisions. You'll manage the development of AI solutions, mentor teams, and collaborate with clients to understand their needs and deliver quality outcomes. Your role involves executing projects, ensuring timelines, and upholding professional standards while embracing technology adoption.

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.

As a Strategic Account Executive at Dataiku, you'll manage the entire sales cycle, focusing on enterprise accounts and showcasing the value of the Dataiku platform. You'll collaborate across teams to align with customer needs, emphasizing a consultative and customer-centric sales philosophy.

The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.

As a Senior Associate in AI & GenAI Data Science at PwC, you'll leverage advanced analytics techniques to derive insights from large datasets, design AI solutions, and collaborate with clients on their business challenges. You'll support the development and implementation of both backend and frontend AI architectures, working with diverse data types and documenting business processes for AI opportunities. You will also manage client relationships and grow your technical expertise.

The Junior Data Scientist will support a financial regulatory client by developing data pipelines and analytics solutions using programming languages, performing statistical analysis, data manipulation, and creating efficient queries. They will work with stakeholders and teams to develop scalable analytics solutions that meet decision-makers' needs.

As a Data Scientist, you will design, develop, and implement models and solutions for agency challenges, conduct data analyses, prepare and manage data, and lead teams while mentoring other scientists.

The Senior Data Scientist will support financial regulatory clients by providing analytical expertise throughout the data science lifecycle. Responsibilities include engaging with user communities, coordinating user stories, overseeing quality management programs, developing predictive analytics models, and delivering internal analytics for performance metrics and cost estimation.

The Senior Data Scientist will drive innovation in AI-driven consumer insights by developing and deploying neural networks and machine learning models to tackle predictive analytics challenges. Responsibilities include building data pipelines, ensuring model governance, identifying new machine learning applications, and collaborating with product teams while adhering to ethical principles in machine learning.

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.

As a Sr. Data Scientist II, you will design and optimize AI/ML models, collaborate with teams to integrate AI solutions, manage the lifecycle of AI components, and analyze data challenges. Your role will involve staying current with AI advancements and presenting findings to clients while utilizing various data science methodologies.

As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.

Collaborate with customers to understand data needs, develop and implement data systems, perform statistical analysis, and provide data visualizations. Requires Top Secret Clearance, Bachelor's degree in Computer Science, and 10 years of experience in AI, statistics, and data modeling.

The Data Scientist will lead teams in implementing data analytics projects, utilizing advanced techniques in data manipulation and analysis. Responsibilities include developing SQL queries, optimizing data models, and providing strategic insights into complex IT systems. The role emphasizes expertise in handling both small and large data environments.

The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.