Top Remote Data Science Jobs in Washington DC,

The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

The Senior Data Scientist will build predictive and optimization models to enhance internal business operations and financial health. Responsibilities include developing models for customer revenue prediction, implementing time series forecasting, and collaborating with data engineers to implement ML algorithms. The role requires proficiency in statistics, data structures, and machine learning.

As a Data Scientist at Fors Marsh, you will support research efforts by collaborating on analysis plans, managing datasets, preparing reports, and ensuring quality control of quantitative research. Your role will also involve contributing to business development and participating in project meetings.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

The Senior Data Scientist at Constellation will develop innovative data science solutions, explore complex datasets, build advanced ML models, and mentor junior team members. Responsibilities include translating business requirements into actionable data science strategies, collaborating with cross-functional teams, and managing data visualization, ETL processes, and code repositories.

The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.