Top Software Data Science Jobs

As an Applied Scientist at Demandbase, you will enhance the B2B buyer's journey by designing and implementing data-driven machine learning models. Responsibilities include developing algorithms, feature engineering, cross-functional collaboration, operationalizing models, and continuous improvement of methodologies to solve business problems.

The Revenue Operations Analyst will optimize the tools and processes for the sales and post-sales teams, manage reporting and insights, execute projects, and collaborate cross-functionally to improve business operations and efficiency.

As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.

The Data Scientist/Sr. Data Scientist will lead analytics projects in the Life Sciences industry, focusing on Brand, Real World Data, and Marketing Analytics. Responsibilities include managing teams, client engagement, delivering solutions to business problems, and using analytical tools to drive insights.

The Revenue Operations & Deal Desk Analyst III will support the quote-to-cash revenue cycle by enhancing operational efficiencies, optimizing processes, and providing detailed reporting. The role involves data analysis, collaboration with various teams, and process documentation while ensuring SOX compliance and driving continuous improvements.

The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.

The Data Scientist will create analytical tools and products, working with clients to develop insights and improve business results. Responsibilities include client collaboration, developing predictive models, validating existing models, and managing multiple projects.