Top Data & Analytics Jobs

The Senior Staff Data Scientist will work closely with the Marketing team to enhance marketing initiatives through statistical modeling and machine learning. Responsibilities include implementing Media Mix Models, conducting performance analysis, building attribution models, and developing dashboards to communicate insights. Staying updated with industry trends and technologies is also crucial.

The Staff Data Scientist will build scalable automated solutions for product analytics, empower team decisions using insights, guide junior data scientists, and represent the data science discipline organization-wide. Responsibilities include gathering requirements, defining project milestones, and shaping product analytics and data science strategies.

As a Data Scientist at Capital One, you will train and customize large language models, partner with cross-functional teams to develop customer-centric products, and leverage technologies such as PyTorch and Hugging Face to analyze big data. You'll be involved in building and evaluating machine learning models and contribute research to leading NLP conferences.

As a Staff Data Scientist at Udemy, you will leverage deep learning to enhance user experiences and personalization through Content Recommendations and Marketing use cases. Your responsibilities include developing machine learning models, designing experiments, collaborating with cross-functional teams, and providing technical guidance.

As an AI & GenAI Data Scientist-Manager at PwC, you will leverage advanced analytical techniques to extract insights from large datasets and guide teams in delivering data-driven solutions. You will manage projects from planning to execution, mentor team members, and oversee the development of AI solutions, ensuring adherence to quality standards and client needs.

Join Capital One as a Senior Manager Data Scientist, leading the next wave of data-driven disruption using cutting-edge technologies. Partner with cross-functional teams, build machine learning models, and deliver products customers love. Ideal candidates are customer-focused, innovative, creative, technical, statistically-minded, and data-savvy.

As a Senior Data Scientist in the Emerging ML team, you will conduct research, build machine learning models, analyze customer behavior, and collaborate with engineering and product teams to improve customer experiences and business outcomes. You'll work across all phases of the data science lifecycle and utilize various data to create impactful solutions.

The AI & GenAI Data Scientist-Manager role at PwC involves leveraging advanced analytics and AI techniques to extract insights from large datasets, while also managing projects, mentoring teams, and collaborating with clients to drive data-driven decision-making. The role focuses on developing AI solutions and ensuring the effective execution of projects to meet client needs.

As a Principal Data Scientist at Capital One, you will partner with a team to deliver innovative data-driven solutions using a stack of technologies including Python, Conda, AWS, H2O, and Spark. Your role involves building machine learning models, translating complexity into business goals, and leveraging big data for customer benefits.

As an AI & GenAI Data Scientist-Manager at PwC, you will leverage advanced analytical techniques to extract insights from data, manage projects, and guide team members. Your role includes mentoring, project ownership, and developing AI solutions tailored to client needs while maintaining professional standards.

The AI & GenAI Data Scientist-Manager at PwC will lead projects leveraging data analytics to provide insights and support strategic decision-making. Responsibilities include managing AI solutions development, mentoring team members, collaborating with clients to address business challenges, and ensuring adherence to professional standards.

As the AI & GenAI Data Scientist-Manager at PwC, you will lead advanced analytics projects, leveraging data to drive insights and inform business decisions. You'll manage the development of AI solutions, mentor teams, and collaborate with clients to understand their needs and deliver quality outcomes. Your role involves executing projects, ensuring timelines, and upholding professional standards while embracing technology adoption.

The Data Scientist will focus on developing and maintaining ML infrastructure, monitoring model performance, and ensuring models meet business objectives such as yield optimization and CTR prediction. Responsibilities include dashboard creation, performance troubleshooting, and collaboration with engineers and product managers.

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.