Top Data & Analytics Jobs

The Senior Data Science Engineer will develop data solutions, manage scalable data processing platforms, oversee algorithms for data acquisition and model improvement, and mentor junior engineers. Responsibilities include collaborating with teams, documenting solutions, and making informed decisions on services and applications.

As a Data Science Manager, you will lead a team of data scientists to leverage data insights for driving growth in Pinner-facing Ad Format Experiences. You will structure ambiguous business challenges into actionable plans and ensure high-quality technical outputs. Collaboration with product and engineering partners is key, alongside effective communication of analytics to various stakeholders.

As an AI & GenAI Data Scientist-Manager at PwC, you will lead teams in developing advanced analytical solutions, design AI architectures, and manage client relationships. Responsibilities include mentoring team members, successfully executing projects, and leveraging data insights to drive business decisions. You will also be involved in identifying AI opportunities, documenting processes, and ensuring adherence to professional standards.

The Sr Data Scientist will develop computer vision models and algorithms to enhance customer experiences. This role includes utilizing machine learning technologies, developing scalable applications, maintaining technical documentation, and training junior scientists. Key responsibilities involve executing complex projects using enterprise-level machine learning methods, ensuring best practices, and staying updated with industry trends.

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.

As a Principal Associate Data Scientist, you'll analyze large data sets, build and implement machine learning models, and partner with cross-functional teams to enhance customer service. The role involves statistical modeling and utilizing advanced computing technologies to derive insights from data.

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.

The Manager, Data Scientist will lead a team in developing generative AI-based solutions for financial analysis by fine-tuning large language models, managing data annotation projects, and collaborating with cross-functional teams. The role requires hands-on experience with machine learning and open-source programming for data analysis.

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.

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.