Top Remote Senior Level Data Science Jobs in Washington DC,

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.

As a Sr. BI Analyst, you'll analyze data for business solutions, develop BI reports and dashboards, and collaborate with teams to ensure data accuracy and effectiveness in delivering insights.

As a Senior Data Scientist, you'll analyze complex data sets, develop predictive models, and collaborate with stakeholders to drive data-driven growth.

The Tableau Engineer will develop and optimize dashboards, manage data pipelines, collaborate with stakeholders, and present insights for business decision-making.

The Senior Data Scientist will design and deploy predictive models, lead experimentation, collaborate across teams, and communicate findings to drive product strategy and business outcomes.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

The Senior Manager will analyze metrics to optimize sales and marketing initiatives, implement KPIs, lead cross-functional projects, and influence executive decisions through data-driven insights.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

The Lead Scientist will develop scalable forecasting models utilizing time series and Bayesian techniques, collaborate across teams, and present findings to leadership.

The Principal Data Scientist will lead the Ads Data Science team at Reddit, optimizing advertising strategies through advanced statistical methods and machine learning, while collaborating with multiple teams to influence key business decisions.