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The Senior Manager Analytics will lead a team conducting advanced analytics to provide insights and recommendations to business partners. Responsibilities include managing risk, developing models, partnering with leadership, and ensuring timely delivery of analyses. The role emphasizes both qualitative and quantitative analysis to drive business strategy.
The AHL Fellowship program is a five-week, full-time summer opportunity for sophomore students to gain exposure to financial services. Fellows will participate in training, mentorship, and project-based learning while presenting their projects to senior stakeholders.
The Data Science PhD Intern at Docugami will research and propose solutions to scientific problems related to AI, NLP, and ML, collaborate with engineering teams, and conduct internal science reviews. They will have a chance to apply their skills in an early-stage startup environment.
The Senior Applied Scientist at Chewy will design and implement machine learning solutions to enhance the sponsored advertising systems. Responsibilities include collaborating with product and engineering teams, developing new models, mentoring junior scientists, and communicating research insights effectively. The role focuses on improving ad relevance, ranking, prediction models, and driving business impact through data science methodologies.
As a Machine Learning Engineer III at Chewy, you will lead the development of advertising solutions by deploying machine learning and data science to enhance product search, ranking, and prediction models. You will collaborate with product and engineering leaders, mentor junior scientists, and communicate findings to senior leadership, all while building a new Sponsored Advertising business from the ground up.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
As a Senior Director of Data Science at Dropbox, you will lead and build a high-performing team of data scientists. You will influence key business decisions, drive the direction of a new initiative, and create a data-informed culture focused on impact and execution. Your role includes partnering with leadership across functions and ensuring high-quality data analytics.
The Vice President of Global Data Strategy and Governance will develop and implement a comprehensive data strategy and governance framework, ensuring data is managed as a strategic asset. The role includes collaboration with stakeholders, leading teams for data insights, and setting governance standards for data sourcing and usage.
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As a Sr. Director of Analytics, you'll lead analytics initiatives to improve client media and digital investments, develop measurement strategies, and drive data-driven insights. You'll manage a team, partner with clients, and innovate analytics offerings to enhance business performance and user experiences.
The Data Scientist will work within the Aerospace Corporation’s Data Science and Artificial Intelligence Department, focusing on research and application of cutting-edge technologies in Data Science and AI for national security and commercial space systems. The role involves collaboration on projects in machine learning, computer vision, and related fields, while also mentoring other staff and driving innovation.
The Vice President for Artificial Intelligence Data Management at JPMorgan Chase will transform data management practices, driving AI solutions, collaborating with stakeholders, and applying AI/ML techniques to develop scalable models. Responsibilities include presenting results and staying updated with the latest research in AI and data science.
The Data Scientist will research and develop AI and data-enabled tools for space enterprises, involving machine learning, natural language processing, and computer vision. They will work on varied projects, mentor others, and contribute to solving critical problems for national security and civil applications.
The Director of Video Streaming Analytics will lead a team to enhance video playback experiences across global platforms, develop strategies for monitoring KPIs, and translate complex data into actionable insights for senior leadership. The role requires collaboration with cross-functional teams to drive continuous improvement and ensure top-quality streaming performance.
The Senior Applied Scientist will develop innovative advertising solutions using machine learning to enhance shopping experiences and improve product discovery at Chewy. Responsibilities include model development, collaboration with product and engineering teams, publishing research, and mentoring junior scientists.
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The Vice President of Data Engineering will lead the development and execution of a data platform, oversee data management strategies, and manage engineering teams while ensuring data privacy and security. Responsibilities include mentoring leaders and contributing to cross-functional strategic objectives, making it crucial for the individual to possess exceptional leadership skills and technical expertise in data systems architecture.
The Lead Data Science Analyst is responsible for executing analytical initiatives to address business problems using advanced analytics and machine learning. They create reports and dashboards, manage risks, analyze trends related to home loan servicing, and collaborate with partners to deliver insights and recommendations.
The Vice President for Data Development Lifecycle (DDLC) Strategy Lead will define and oversee the data development process, collaborating with technology leaders and various departments to improve and implement data strategies, emphasizing risk management and control frameworks to ensure efficient deployment at scale.
The Retail Sr. Analyst will provide analytic support for the Grocery business, manage scorecards, create presentations with data-driven insights, and collaborate with internal and external partners to enhance the retail analytics capabilities, focusing on unlocking opportunities through deep analysis.
The Sr Director, Customer and Marketing Data will manage workflow across product, engineering, analytics, and design teams. This role defines strategic vision for the data product portfolio, engages with stakeholders, leads annual planning, and develops actionable analytics to drive customer engagement and business outcomes.
As a Senior Associate in Data Science, you will leverage generative AI and machine learning to analyze unstructured data, enhance customer experience, and improve model pipelines while collaborating with various teams.
The Data Science Lead for Asset Management will enhance investment processes and client services using data science and machine learning. Responsibilities include collaborating with stakeholders to develop NLP/ML solutions, curating datasets, optimizing model performance, and presenting results to both technical and business audiences.
The Sr. Scientist will drive data-driven decision-making by applying Data Science techniques, building predictive models, analyzing large datasets, monitoring model effectiveness, and collaborating with cross-functional teams to solve complex business problems.
The Sr. Scientist in the Data Management and Analytics Group will collaborate on a multi-disciplinary team to implement data-driven solutions, develop predictive models, analyze diverse information, and enhance decision-making through advanced analytics strategies.
As a Principal Associate in Data Science, you will leverage generative AI technologies to extract insights from unstructured data sources like call transcripts and document images. You will manage data annotation projects, collaborate with machine learning engineers to enhance model pipelines, and communicate with business stakeholders for aligning data science outputs with objectives.
As a Data Scientist Manager at Capital One, you will lead a team to deploy and optimize machine learning models, analyze large data sets, and develop innovative solutions for credit risk management. You will collaborate with cross-functional teams to translate complex data insights into actionable business strategies while fostering a culture of continuous learning and innovation.
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