Top Data Science Jobs

Data Scientist role at Capital One focusing on developing credit bureau data and generating insights for Card underwriting. Requires expertise in open-source languages, machine learning, and relational databases.

This role as a Principal Associate, Data Scientist at Capital One involves leveraging analytic and technical skills to innovate, build, and maintain data solutions for business problems within the Card Data Strategy team. Responsibilities include developing credit bureau data, performing analysis, and presenting insights to senior stakeholders.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies to unlock opportunities that help people save money and time in their financial lives. The role involves developing machine learning models to aid in credit card decisions and operations, focusing on high-impact models that improve business performance while maintaining work-life balance. The ideal candidate is customer-focused, analytical, and passionate about applying new machine learning techniques to drive business improvements.

Seeking a highly skilled Lead Data Scientist with expertise in NLP and fine-tuning LLMs. Responsibilities include researching, designing, and implementing pioneering NLP algorithms, collaborating with teams, staying updated on AI technologies, analyzing results, and driving innovation. Requires a Master's degree in related field, 6-8 years of professional experience, proficiency in Python, TensorFlow, PyTorch, and experience with NLP frameworks.

Seeking a Senior Data Scientist with experience in Reinforcement Learning from Human Feedback (RLHF) and a focus on Generative AI. Responsibilities include research, design, and implementation of reinforcement learning algorithms, staying updated with AI technologies, interpreting data resources, problem-solving, mentoring, and driving innovation.

The role focuses on establishing and maintaining an enterprise data governance framework for Reporting and BW solutions related to S4/o9. Responsibilities include driving enterprise data governance implementation, overseeing data integration, collaborating with stakeholders, developing data catalogues and glossaries, and ensuring compliance with data governance standards. The ideal candidate will have deep expertise in data associated with Reporting and BW, knowledge of reporting processes, stakeholder management skills, and the ability to drive change.

Establish and uphold enterprise data governance framework, drive data governance implementation roadmap, oversee integration of data sources, collaborate with cross-functional teams, develop data catalogues and lineage maps, drive data protection and quality standards.

Establish and uphold an enterprise data governance framework for Reporting and BW solutions related to S4/o9. Drive data governance implementation, integration of data sources, development of data catalogues, and collaboration with stakeholders for reporting solutions.

This position is for a financial credit analyst supporting credit processes within North America Credit Team at Motorola Solutions. Responsibilities include collaborating with various groups and customers to support order release, billing, project reconciliations, and cash collections. Additional skills required include problem-solving, communication, teamwork, and proficiency in Excel and Google tools.

A Data Scientist role at AnthologyAI involving processing and analyzing vast amounts of user data using machine learning and AI models to derive insights and enhance products/services. Responsibilities include data integrity verification, strategic planning, staying updated with ML/AI advancements, designing innovative ML algorithms, and ensuring compliance with data privacy regulations.

This Senior Data Scientist position at AnthologyAI involves processing, cleansing, and analyzing vast amounts of user data using advanced machine learning and AI techniques to derive insights and enhance products/services. The role includes strategic planning, implementing innovative algorithms, ensuring data privacy compliance, and collaborating with cross-functional teams.

Data Scientist role focused on growing revenue, optimizing product, scaling and monetizing the business by analyzing user behaviors and providing business insights. Responsible for customer journey analysis, segmentation strategies, trend identification, and experimental design. Requires a quantitative degree, 3-5 years of analytics experience, proficiency in SQL and statistical analysis, and excellent communication skills.

Lead the design, development, and deployment of machine learning models and algorithms to solve complex business challenges in the fintech domain. Analyze diverse datasets, develop predictive models, conduct exploratory data analysis, optimize performance, and integrate models into production systems.