Top Remote Data Science Jobs in Washington, DC

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Drive technical innovation in promotional media measurement by building predictive models, executing experiments, and collaborating with cross-functional teams.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Senior Data Scientist will lead data analytics projects, developing AI/ML models for strategic decisions while mentoring team members and ensuring responsible AI practices.

Lead the development of advanced analytics and AI/ML models, involving statistical modeling and machine learning, to provide actionable insights for stakeholders and clients.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

Analyze complex data sets, develop predictive models, collaborate with stakeholders, design data visualizations, and ensure data quality in a dynamic environment.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

As a Data Scientist II, you'll design and implement deep learning models for fraud detection and risk management, collaborating across teams to achieve project success. You will handle diverse data types and participate in all machine learning lifecycle stages.

Lead advanced data science efforts for identity graph modeling. Collaborate across teams to enhance system performance and data quality, focusing on scalable identity solutions.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.