5 data scientist agent jobs found

Summary: Meta Product Managers work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company, value moving quickly, and lead AI transformation at scale. This job description represents different full-time roles across Meta. Required Skills: Product Manager, Central Products Responsibilities: Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the...

Senior Manager - Biologics Drug Product Development (Formulation & Filling) To support our rapidly expanding biologics portfolio of assets, we are seeking a highly skilled technical leader to join our Biologics Drug Product Development team with a primary focus on formulation development and aseptic filling process development for clinical and commercial programs. In addition to hands-on experience, the ideal candidate will have experience partnering with and providing scientific guidance to external contract research, development and manufacturing organizations. This role will lead formulation design and characterization for parenteral biologics (e.g., mAbs, recombinant proteins, novel biologics modalities) and develop/scale automated filling processes across vials and prefilled syringes. Experience with lyophilization is optional but will strengthen the applicant's candidacy. The ideal candidate combines deep understanding of protein/excipient interactions and...

Summary: Meta Product Managers work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company, value moving quickly, and lead AI transformation at scale. This job description represents different full-time roles across Meta. Required Skills: Product Manager, Central Products Responsibilities: Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the...

Senior Product Manager, Growth - Capital One Shopping (Remote-Eligible) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you! In this role, you will be the architect of our web growth engine, focusing on the intersection of technical SEO, platform scale, and user experience. You will productize organic...

Job Description The Role As a Staff Data Engineer within the Marketing Applied Sciences organization, you will be responsible for designing and developing high-quality, well-managed, and reusable data and analytics products (including AI/ML, Data, and Marketing solutions) for applied analytics solutions and insights. You will design, build, and optimize data engineering pipelines and marketing data products, as well as contribute to AI agents, LLM-based solutions, and Ad Ops pipelines, while owning and enforcing data and AI standards and ensuring security and compliance. Additionally, the Data Engineer will contribute to building and maintaining LLM-based AI agents using both platform-native capabilities and custom agent frameworks, integrating them with enterprise-scale AI models and data systems. Agents will include wrappers and UI to seamlessly integrate sub agents. You will also be responsible for monitoring, maintaining, and enhancing data and ML pipelines and...