Top Remote Senior Level Data Science Jobs

As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.

As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.

The Senior Field Applications Scientist will support sales by leveraging expertise in UV/VIS/NIR and Fluorescence technologies. Responsibilities include customer demonstrations, technical presentations, training, and providing feedback to product leaders. This role requires travel up to 50% and effective communication skills to address customer challenges.

As a Senior Data Scientist, you will leverage advanced analytics tools to develop data-driven solutions and lead end-to-end data science projects. Responsibilities include building predictive models, applying statistical methods, collaborating with teams, and delivering actionable recommendations to stakeholders, while staying updated on emerging Microsoft technologies.

As a Senior Revenue Technology Analyst at Invoca, you will manage and develop revenue technology for Sales and Marketing. This role involves project management, administration, and analysis. You will collaborate with teams, maintain Salesforce applications, drive process improvements, and support user training. The position requires expertise in the Salesforce ecosystem and a commitment to enhancing efficiency.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.