Top 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 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.

This role involves acquiring and cleaning data, developing ETL pipelines, performing data analysis, and building interactive dashboards for Federal clients.

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

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.

Conduct model development and implementation for risk models, support sales initiatives, analyze transaction data with big data technologies, and promote analytics education at Visa.

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'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.

As a Staff Data Scientist, you will lead data science initiatives, mentor team members, design algorithms, and collaborate with cross-functional teams to implement machine learning solutions.

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.