Top Data Science Jobs in Washington, DC

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.

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.

The Data Scientist will develop AI solutions, work with customer data, and deploy production systems using the Virtualitics platform.

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'll analyze complex data sets, develop algorithms, create data visualizations, and collaborate with clients to derive actionable insights.

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

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 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.

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

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

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.

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.

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.

The Data Scientist will analyze public sector challenges using statistical programming and modeling, focusing on NLP techniques and visualization to present insights.

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.

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

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

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.

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 develop algorithms to identify aberrant billing patterns, support CMS with advanced analytics, and enhance risk-based analytic models for Medicaid and CHIP programs.

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

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.