Top Data Science Jobs in Washington, DC

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

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.

Champion Responsible AI across the enterprise by developing and operationalizing ethical, transparent, and compliant AI solutions. Lead R&D and production deployments of generative and traditional ML, design evaluation and monitoring frameworks, conduct model risk and fairness assessments, and partner with legal, compliance, and IT to implement governance and training.

The role includes collaborating with clients on data science projects, focusing on data analytics, predictive modeling, and business intelligence. The position requires communication and support for ongoing professional development in data science.

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

Lead development and deployment of ML and NLP solutions—design, implement, and iterate models for document classification, extraction, summarization, and search; work with clients and teammates to turn large streaming and data-lake datasets into production ML workflows; guide model deployment, monitoring, and evaluation at scale.

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'll analyze complex data sets, create models and algorithms, and provide insights to improve decision-making for clients.

Perform data science work including ETL, statistical analysis, predictive modeling, and machine learning. Lead development of algorithms and automated analytic software, create visualizations, integrate FOSS/COTS, guide teammates, and translate data into actionable insights for clients.

Perform data exploration, cleaning, analysis, and visualization; develop algorithms and predictive models using R/Python/SQL and NoSQL; analyze structured and unstructured data; apply text mining, ML, and AI techniques; work with clients to deliver actionable insights. Top Secret clearance required.

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 data scientist, you'll analyze complex data sets, develop algorithms, and create data visualizations to guide client decision-making across various sectors.

The Data Scientist will assess technical practices, perform data analysis, cleansing, and prepare agency performance metrics using various data tools and technologies.

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 Data Scientist will analyze public sector issues using statistical programming and NLP techniques, including modeling, data visualization, and feature engineering.

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.

The role involves building data infrastructure, designing ETL pipelines, creating dashboards, collaborating with teams to enhance data quality and supporting self-service insights.

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.

As a Data Scientist, you will build machine learning models, manage data pipelines, and contribute to healthcare analytics to drive product growth.

As a Senior Data Scientist, you will support the deployment of AI models for a federal customer, contributing from ideation to production.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

Lead advanced analytics efforts for a Federal government client, develop data strategies, enhance data capabilities, and deliver insights using AI and data visualization tools.

Lead design and implementation of defensible Generative AI and ML solutions for eDiscovery. Consult with clients, optimize models, ensure AI auditability/QC, train internal teams, and support KPI reporting across litigation workflows.