Top Data Science Jobs

As a Principal Data Scientist at Salesforce, you will lead the development of advanced generative AI applications, focusing on Retrieval Augmented Generation (RAG), Knowledge Graphs, and NLP. Your responsibilities include full-cycle development, building machine learning models, and driving innovation in CRM technology.

The AI Scientist will research, design, prototype, and optimize AI systems for Salesforce's Agentforce team. Responsibilities include translating business problems into applied science challenges, building AI systems, mentoring team members, and educating product and engineering teams about AI innovations.

The Data Operations Specialist will support the ProBio Supply Chain team by providing data-entry, administrative, and customer service support. Responsibilities include managing master data, conducting data quality checks, analyzing reports, collaborating with cross-functional teams, and ensuring accurate data processing within the management system.

As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.

The Data Solutions Specialist manages customers’ variable data for printed labeling, integrating data from IT systems into software solutions, and serving as a customer-facing expert on variable data. Responsibilities include direct customer engagement, project coordination, and support for data management and digital product solutions.

The Data Science Manager will lead teams of Data Scientists to solve business challenges through data analysis, predictive modeling, and machine learning. Responsibilities include managing analyst projects, developing staff skills, building client relationships, and delivering customized solutions using data-driven insights. The role requires effective communication and strong leadership to guide teams in a strategic partnership with clients.

The Software Data Science and Analytics Engineer will analyze data to drive process efficiency and support decision-making regarding global project sourcing. Responsibilities include database development, data analysis, dashboard creation, and engagement with cross-functional teams to improve data accuracy and support business decisions.

The Associate Scientist engages in pharmaceutical development and clinical manufacturing projects, overseeing tasks like formulation, data interpretation, and documentation while ensuring timely execution of responsibilities and ongoing communication with internal teams and clients.