Top Senior Level Data & Analytics Jobs in Washington DC,

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Field Application Scientist will support sales by providing technical expertise, conducting product demonstrations, and delivering training on LI-COR Biotechnology products. They will manage multiple projects, assist customers with technical queries, and maintain relationships to ensure customer satisfaction.

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.

The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.

The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.