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The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
As a Manager of Data Science, you will lead cross-functional teams to develop AI and ML solutions, focusing on personalized customer experiences. You will leverage advanced technologies and statistical modeling methods to analyze vast datasets, build machine learning models, and translate complex data insights into actionable business strategies.
As a Manager in Data Science at Capital One, you will lead the Recommendation & Personalization team to build scalable AI/ML solutions. Your responsibilities include partnering with cross-functional teams, developing machine learning models, and leveraging a diverse tech stack to extract insights from data while focusing on customer experience and innovation.
The Senior Manager of Data Science will lead a team of Data Scientists in creating machine learning models to enhance company growth, manage projects across departments, and teach business teams the implications of model results.
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.
The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.
The Data Science Manager will lead the development of AI-based products, architect data solutions, oversee research and design for new product lines, engage with clients, and drive talent development. The role requires innovative problem-solving and deploying large-scale AI solutions across various business complexities.
As a Data Science Manager, you will lead the development of ML-based products, architect AI solutions, manage teams of scientists and engineers, engage with clients, and drive transformative results. You will also be responsible for publishing thought leadership and contributing to talent development within the firm.
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As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, manage a team of scientists and engineers, and architect AI-enabling data solutions. Your role involves engaging with clients, solving complex problems, and contributing to thought leadership in AI and analytics.
The Data Science Manager will lead the development of ML-based products, architect AI data solutions, and engage with clients to solve complex business issues. Key responsibilities include managing a team of scientists and engineers, researching advanced algorithms, and driving the strategy in AI and ML applications across various industries.
The Director, Social Media Data Science and Insights will lead the analysis of social media data, develop innovative strategies, and drive data-informed decisions in marketing and product development. Responsibilities include building executive reports, using advanced analytics techniques, and overseeing global social media reporting.
The Senior Data Scientist will lead projects involving machine learning and data science, providing expertise and guidance. They will serve as the primary liaison for technical research support and work on exciting initiatives, including an NSF-funded protocol. They are also expected to have an R&D background and possibly worked on grant writing and patent development.
The Senior Data Scientist will analyze complex data sets, apply statistical analyses, and develop strategic plans to support mission-critical decisions. Responsibilities include managing databases, creating documentation and data visualizations, and collaborating with teams to maximize data's value through advanced analytics and techniques.
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.
Lead a team of data scientists to develop advanced machine learning solutions for business challenges, focusing on customer valuation models and collaborating with stakeholders to align data science initiatives with business goals.
As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions, build machine learning models, and translate complex data insights into business goals, all while ensuring customer-centric innovations.
As a Senior Associate Data Scientist at Capital One, you'll build machine learning models and analyze data to enhance regulatory compliance and risk management. Collaborating with cross-functional teams, you'll leverage technologies like Python and AWS to deliver impactful data-driven insights and improve business outcomes.
As a Senior Associate Data Scientist at Capital One, you will leverage machine learning and data-driven insights for regulatory compliance and risk management. You'll collaborate with a cross-functional team to build and evaluate models using technologies like Python and SQL, while translating complex data into actionable business goals.
As a Staff Data Scientist, you will lead the development of models for Airbnb's search and personalization strategy, working closely with engineering and product teams. You will design and evaluate inference frameworks, integrate marketplace dynamics into models, and ensure the quality and alignment of algorithms with product goals. Your role also involves effective communication of complex ideas to diverse audiences.
As a Principal Associate in Data Science for the Retail Bank, you will collaborate with a diverse team to build machine learning models using a broad tech stack, analyze large datasets, and contribute to data-driven product development aimed at enhancing customer experiences.
As a Principal Data Scientist at Capital One, you will lead data-driven projects in commercial banking, collaborating with cross-functional teams to build machine learning models and extract insights from large datasets. You will apply statistical methods and machine learning algorithms to support customer decision-making and optimize banking services.
As a Data Scientist at Capital One, you will analyze customer data using generative AI to enhance decision-making. You'll fine-tune large language models, manage data annotation projects, and collaborate with teams to develop machine learning solutions. The role requires innovation and technical expertise in deep learning and data science methodologies.
As a Data Science Lead Vice President, you will mentor a team in applying advanced machine learning techniques to mitigate fraud across multiple payment channels. Your role involves driving analytics projects, enhancing customer experience, and presenting insights to stakeholders. You will lead research, implementation, and evaluation of analytical tools while fostering innovative thinking within your team.
The Senior Associate in Data Science will utilize machine learning and deep learning technologies to analyze unstructured multi-modal data, identifying customer pain points and fine-tuning models for document analysis. Collaborating with various teams, the role involves building and optimizing model pipelines and delivering actionable insights based on data.
The Senior Data Scientist will collaborate with a cross-functional team to leverage technology and data for commercial banking solutions. Responsibilities include developing machine learning models, extracting insights from large datasets, and driving data-driven decision-making in real-time credit assessment and other banking operations.
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