Overview Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including
Overview Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more,
Data Scientist - Lewis Katz School of Medicine - (26001892) Description The Temple University’s Lewis Katz School of Medicine’s Neurology Department is searching for a Data Scientist to join our team! Become a part of the
Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help researchers solve humanity’s biggest challenges? At Elsevier, data science is not about building models for the sake of building models. It
ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and
Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Senior Machine Learning Engineer, you will play a key role in
Overview Susquehanna is launching a 12–18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment - collaborating with teams at the frontier of quantitative
Applied AI/ML Executive Director As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the
Head Of Applied Ai Research & Development Vanguard Malvern, PA Lead with purpose and keep growing. See your future here. Vanguards Enterprise AI & Research (EAiR) team is advancing the next generation of AI capabilities by
Be a key driver of innovation, collaborating across business and technology to shape data strategies that power smarter decisions, operational excellence, and a thriving data-driven culture! As a Data Owner Lead on the Digital Data Owner
DESCRIPTION: Duties: Perform tactical and strategic-level activities to build and support the big data and cloud environment. Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems. Create secure and
This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the
The CCB Risk Modeling team is seeking talented professionals with expertise in computer vision, Generative AI, and image generation, with a focus on fraud modeling applications. Our work centers on building vision and multimodal AI systems-including
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sectors Enterprise Technology team,
The Portfolio Risk Modeling team within CCB Risk Modeling group is responsible for end-to-end development of best in class forecasting model suite for Chase credit card portfolios to support stress testing, loss reserve, and business planning
Duties: Execute software solutions, design, development, and technical troubleshooting to build solutions or breakdown technical problems. Drive cross functional system architecture, information architecture and solution architecture. Create secure and high-quality production code and maintain algorithms that
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
DESCRIPTION: Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data