Top Senior Level Data Science Jobs in Birmingham, AL

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.

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.

Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.

The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.