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The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytics techniques to extract insights from large datasets, manage global data operations, develop AI solutions, and mentor team members. Responsibilities include analyzing business processes for AI opportunities, collaborating with clients, and designing architectures for AI applications while maintaining professional standards.
The Senior Research Engineer will curate and manage large-scale structured and unstructured data, collaborating with researchers to produce valuable datasets and automate data pipelines. Responsibilities include data extraction, cleaning, query design, and developing analytical infrastructure, all aimed at enhancing business outcomes through data-driven insights.
As a Principal Associate, Data Scientist, you will partner with cross-functional teams to analyze large data sets, build machine learning models, and translate complex data insights into business strategies while leveraging technologies like Python, AWS, and Spark.
As a Data Scientist at Roblox, you will partner with product and engineering teams to develop models and strategies that enhance the creator journey. Responsibilities include defining KPI metrics, evaluating A/B experiments, building dashboards, and utilizing machine learning for predictive modeling.
As a Manager, Data Scientist at Capital One, you will lead a team in developing generative AI-based solutions for financial data analysis. Responsibilities include fine-tuning language models, managing data annotation projects, and collaborating with engineers to optimize data pipelines. The role requires statistical modeling expertise and a passion for emerging technologies.
As a Senior Data Scientist for Compliance & Trust at Roblox, you will develop frameworks to measure the impact of regulatory changes, manage transparency reporting, and conduct experiments to optimize user safety. You will collaborate with cross-functional teams to implement data-driven strategies that ensure compliance and improve user experience regarding safety and civility.
The AI & GenAI Data Scientist-Manager at PwC is responsible for leading teams to deliver AI solutions by leveraging data analytics techniques. Key responsibilities include managing project execution, mentoring team members, collaborating with clients to identify business problems, and designing AI architectures. The role emphasizes the importance of leadership and innovation to meet client expectations and enhance operational success.
As an AI & GenAI Data Scientist-Manager at PwC, you will lead and develop teams in delivering AI solutions. Your responsibilities include analyzing business processes for AI opportunities, managing projects, collaborating with clients to select appropriate solutions, and ensuring quality deliverables through effective mentorship and team leadership.
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As an AI & GenAI Data Scientist-Manager at PwC, you'll leverage your expertise in AI and analytics to guide teams on developing innovative solutions, mentor team members, manage projects, and drive data-driven decision-making for clients. Your role will involve building AI architectures, analyzing business processes, and fostering collaboration for successful outcomes in complex business scenarios.
The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytics to provide insights from large datasets, mentor team members, manage AI/GenAI projects, and collaborate with clients to address their business needs. Key responsibilities include developing AI solutions, designing architectures, and leading teams to handle data processing.
The RWE Data Scientist analyzes Tempus data for real-world evidence studies, developing insights for pharmaceutical partners and overseeing data quality and compliance. Responsibilities include conducting statistical analyses, communicating findings, collaborating across teams, and staying abreast of oncology methodologies and regulations.
As an AI & GenAI Data Scientist-Manager at PwC, you will leverage advanced analytics to drive business insights, manage development teams for AI solutions, mentor staff, and ensure project quality and execution. You will also collaborate with clients to understand their needs and design AI architectures for their applications.
As an AI & GenAI Data Scientist-Manager at PwC, you'll leverage advanced analytics techniques to drive insights from large datasets. Responsibilities include managing development teams to build AI solutions, collaborating with clients on their business problems, designing AI architectures, and ensuring high-quality deliverables. Leadership and mentorship are key aspects of the role, focused on motivating team members and upholding professional standards.
The AI & GenAI Data Scientist-Manager at PwC leads teams in developing AI solutions and analytics, ensuring project success and team development. Responsibilities include managing client needs, documenting business processes, designing AI architectures, and overseeing data processing for AI applications.
As an AI & GenAI Data Scientist-Manager at PwC, you will leverage advanced analytics to provide insights, mentor team members, manage AI project development, and collaborate with clients to solve complex business problems. You will also oversee project execution and maintain technical standards.
As a Data Scientist/Senior Data Scientist in User Growth, you will analyze user engagement data, drive strategies for user retention, and develop forecasting frameworks using advanced statistical methods and causal inference techniques. Your role involves collaboration with cross-functional teams to provide actionable insights and enhance data tooling for user growth.
The Data Owner Lead will collaborate with diverse teams to define data requirements and specifications for personalized offers, manage the data roadmap, and lead tech initiatives to enhance consumer engagement. Responsibilities include prioritizing data needs and ensuring efficient program execution within agile settings.
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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