Top Hybrid Data Science Jobs

Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.

The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.

As a Senior Associate at PwC, you will leverage advanced analytical techniques to extract insights from large datasets, helping clients optimize operations and make informed business decisions. You'll be involved in building AI and GenAI solutions, including model development, prompt engineering, and integration, while managing client relationships and enhancing technical expertise.

As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to derive insights from large datasets, addressing client needs through the development and implementation of AI solutions. You'll collaborate with clients to identify business problems, build GenAI architectures, and manage analytics operations, while ensuring adherence to professional standards.

The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.

As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Pytorch and AWS. Your role includes building AI foundation models and engaging in applied research to enhance customer experiences with innovative AI solutions.

As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.

Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.

As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.

As a Data Scientist Associate, you will collaborate with various teams to gather requirements and work on analytics related to Chase's branch and ATM distribution network. Responsibilities include developing algorithms for large geospatial datasets, implementing ML models, and documenting analytics processes to meet control obligations.

As a Senior Associate Data Scientist, you will analyze data to support Business Banking strategy, develop data-driven solutions, and ensure data quality for decision-making. Responsibilities include statistical analysis, data processing using Python and SQL, and maintaining data integrity within various project phases.

The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.

As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.