Lead execution across the Data Science organization, ensuring our vision translates into consistent, high-quality delivery. This role combines people leadership, agile delivery management, and cross-functional coordination. Youβll manage a team of 6β9 machine learning and data engineers and serve as a bridge between Data Science, Product, Engineering teams, and Customer Success.
Job listings
As an Applied AI Early Career Engineer in the AI Lab, you will collaborate with a team of like-minded developers, research scientists, product managers and engineers to produce top quality research, develop innovative AI proof-of-concepts (PoCs), clarify project objectives, define success criteria, and assess risks. You will tackle complex problems, design and evaluate machine learning models, and analyze datasets.
As a Data Scientist, help the Maritime Industrial Base (MIB) Data Team. Contribute to the development of data-driven insights and analytic solutions to identify, assess, and mitigate risks in complex supply chains. You will partner closely with Product Owners, the Data Director, and other stakeholders.
Join Quest Software's Center for Advanced AI Architecture in Cork, Ireland. As a Senior Data Engineer, you will lead complex data science initiatives and drive strategic AI research across Quest's platform. You'll establish data science methodologies, guide technical decisions, and work closely with principal engineers to shape the AI research agenda for the organization.
Apply state-of-the-art tools to interpret diverse input types, develop and refine strategies for using LLMs to extract, summarize, and transform unstructured content into structured formats. You will clean, validate, and transform messy, unstructured data into well-defined schemas. Ensure accuracy and reduce bias, partner with data engineers and other data scientists to integrate collected data into AI and analytics systems.
As an Applied Scientist youβll focus on building advanced credit and risk models that power OnePayβs lending and credit access products. Youβll apply cutting-edge machine learning and data science techniques to design models that help expand access to affordable credit while maintaining strong risk management. Partnering closely with Product, Engineering, and Analytics, your work will directly influence how millions of Americans borrow responsibly.
Be part of a dynamic and growing team that will help you level up your skills. You will architect and implement a data-driven strategy that meets the needs of key business areas. You will partner with business leaders from diverse backgrounds to identify opportunities where data can drive significant business value.
In this role, you will drive customer outcomes, roadmap, and value realization for GenAI technology within your accounts through hands-on delivery of ServiceNowβs GenAI capabilities and technical advisory activities. You will also lead GenAI enablement programs and GenAI Impact accelerators for the broader Customer Excellence organization. You will provide technical advice and guidance to customers on how to best utilize ServiceNowβs GenAI technologies to achieve their business objectives.
As a Data Science Manager, you will lead insights and data science across Headwayβs full patient acquisition and matching funnel. You will lead a team of data scientists who uncover insights, drive experimentation, and develop models that guide how patients find care through Headway. This role shapes the analytics and measurement strategy for how Headway attracts, converts, and retains patients. This is a highly cross-functional role that partners closely with Product, Engineering, Marketing, and Design leaders.
Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Manage the end-to-end AI model lifecycle.