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As a Senior Manager Data Scientist at Capital One, you will partner with a cross-functional team to deliver products leveraging a stack of technologies including Python, AWS, and Spark. You will build machine learning models, translate complex work into business goals, and focus on customer-centric innovation.
As a Senior Manager Data Scientist at Capital One, you will partner with a cross-functional team to deliver products using a broad stack of technologies like Python, Conda, AWS, H2O, and Spark. You will build machine learning models and translate complex work into tangible business goals.
As a Senior Data Scientist in Emerging ML at Capital One, you'll conduct research and develop machine learning models across the data science lifecycle. You will build and operationalize models utilizing large datasets, collaborate with various teams to improve customer experiences, and communicate findings effectively to stakeholders.
The Senior Data Scientist will design and implement advanced machine learning and AI models to address complex business issues. They will work closely with research and development teams to define problem statements and deliver innovative solutions using big data tools.
As a Senior Data Scientist at Capital One, you will conduct research in self-supervised learning and machine learning models, develop customer behavioral models, and operationalize ML models while collaborating with various teams to improve customer experiences and business outcomes.
Lead the data science team at Bluesight, focusing on building predictive models and data products. Collaborate with product teams to provide actionable insights for hospital pharmacies, improve medication safety, and enhance compliance. The role involves hands-on work with data workflows and coaching team members to optimize performance.
The Manager of Data Science & Analytics will oversee a team focused on developing healthcare data products and predictive models to support medication management initiatives. Responsibilities include leading data teams, enhancing data operations, ensuring data quality, and presenting actionable insights to improve compliance and efficiency for healthcare clients.
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
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The Data Scientist will lead analytics for Peloton's digital apps, informing product decisions through A/B testing and metrics evaluation while collaborating with cross-functional teams. Responsibilities include defining KPIs, understanding user behaviors, and reporting insights to guide product features and engagement strategies.
As a Data Scientist-Manager at PwC, you'll lead AI and GenAI projects, managing teams to build analytical models, develop solutions, and mentor members. You'll engage with clients to analyze business needs and design AI architectures, ensuring quality delivery while reinforcing professional standards.
As an AI & GenAI Data Scientist-Manager at PwC, you will drive insights through advanced analytics, lead project ownership, and mentor teams in delivering AI solutions. You'll manage teams in the development of AI models, collaborate with clients to solve business problems, and ensure high-quality deliverables aligned with professional standards.
The Manager, Data Scientist at Capital One will be leading the Generative AI Systems team to develop AI-based solutions for various applications like dialogue, text summarization, speech recognition, image processing, and time-series modeling. The role involves training and customizing large language models, collaborating with cross-functional teams, and contributing research to top-tier NLP conferences.
As a Manager in AI & GenAI Data Science at PwC, you will lead teams in leveraging advanced analytics and AI solutions to support client operations. You will take ownership of projects, mentor team members, and ensure quality deliverables while engaging with clients to solve complex business problems. Your role includes developing AI architectures, managing data processing, and helping clients optimize their operations through innovative solutions.
As a Data Scientist in the Generative AI Systems team at Capital One, you will train and customize large language models for dialogue and image processing, collaborate with software engineers and product managers, build machine learning models, and contribute to top-tier NLP research. You will leverage technologies like PyTorch and Spark to extract insights from large datasets and enhance customer experiences through AI solutions.
As an AI & GenAI Data Scientist-Manager at PwC, you will lead projects that utilize advanced analytics techniques to extract insights from large datasets. Responsibilities include team management in developing AI solutions, mentoring staff, and collaborating with clients to understand business problems and design effective AI architectures.
As a Data Scientist-Manager at PwC, you will lead teams in AI and GenAI projects, utilizing advanced analytics to solve complex business problems. Your responsibilities include mentoring team members, project ownership, developing AI architectures, and managing data processes for AI applications, all while fostering a culture of quality and innovation.
The AI & GenAI Data Scientist-Manager at PwC will lead teams in developing AI solutions and analytical models, mentor staff, manage project execution, and engage with clients to identify AI opportunities, ensuring high-quality deliverables and adherence to professional standards.
The VP of Data Science & ML at LendingClub will lead the Modeling function across the enterprise, focusing on strategic direction for statistical model development, managing existing models, and enhancing AI/ML implementations. Responsibilities include collaborating with various teams, ensuring effective model validation for credit issuance, and communicating insights with senior leadership.
As an AI & GenAI Data Scientist-Manager at PwC, you will lead teams in developing AI solutions, focusing on analytical modeling and programming to solve complex client business problems. You'll mentor team members, oversee project execution, and collaborate with clients to identify opportunities for AI integration in their operations.
As a Data Scientist, you will develop innovative card risk models, leveraging machine learning and a variety of technologies to analyze data. You'll collaborate with a cross-functional team to deliver impactful products, thus enhancing business performance while focusing on personal and team growth.
The Senior Director of Data Science will lead a team of data scientists and engineers to innovate advanced measurement products in ad tech. Responsibilities include driving strategy, managing projects, mentoring staff, and collaborating with various teams to deliver data-driven insights and solutions.
The Senior Staff/Principal Scientist will lead a team of data scientists to develop machine learning and AI pipelines for analyzing large biological datasets. Responsibilities include managing data, developing quality controls and visualization tools, and collaborating with cross-disciplinary teams. This role also involves writing grants and scientific papers.
The Senior Data Science Lead will design, develop, and implement machine learning models and statistical algorithms to address business challenges, oversee the model development lifecycle, collaborate with stakeholders, guide junior data scientists, and ensure models are scalable and robust while continuously improving their performance.
The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. This role involves managing development teams to create AI solutions, collaborate with clients to understand their needs, and ensure successful project execution while also mentoring others and enhancing team performance.
As a Data Scientist Lead, you will support advanced analytics projects and lead a team in delivering analytical solutions. Responsibilities include working with various teams to develop effective models, drive personalization strategies, and present key insights to stakeholders.
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