Top Senior Level Data Science Jobs in Washington DC,

The Revenue Operations Analyst will analyze, develop, and influence process enhancements and data analytics to support the GTM strategy and improve customer experience. Responsibilities include process optimization, data analysis, creating reports and dashboards, and driving Salesforce and customer success enhancements.

Formation Bio is seeking a Senior Director of Data Science to lead and develop their data science team, drive data-driven initiatives, and leverage data to advance drug development processes. Responsibilities include team leadership, strategic data utilization, technical guidance, cross-functional collaboration, data governance, and project management.

Lead and grow a high-performing data science team, build scalable and reliable recommendation systems for the web, provide strategic direction for innovative personalization experiences, advocate for resources to advance data capabilities.

Lead a data-driven Marketing program using quantitative data and technology to attract and retain users. Manage a team of marketing data scientists and collaborate with various departments to drive corporate reporting and planning.

Develop advanced Machine Learning models to optimize loan offers presented on partner websites. Collaborate with cross-functional teams to improve accuracy and conversion rates. Mentor junior team members and foster a culture of continuous learning and innovation.

Lead Data Scientist at Movable Ink working on testing and optimizing the DaVinci Personalization product, running a/b tests, conducting deep dives into data, and driving improvements to the working model and process.

The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.