Top Data & Analytics Jobs

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models

As Vice President in Quantitative Research Sales Analytics, enhance trade idea generation, improve efficiency, and promote monetization using data analytics and quantitative skills.

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Gusto seeks a Taxonomist/Ontologist to build AI-driven knowledge systems, develop taxonomies and ontologies, and enhance content delivery and personalization across teams and platforms.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As a Senior Machine Learning Engineer, you will design and productionize machine learning models, collaborate with teams, and maintain high quality code.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

The Principal Quantitative Analyst will develop analytical models, work with cloud-based solutions, and collaborate across business teams to enhance Capital Markets modeling and improve business performance using quantitative and machine learning methods.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Principal Architect, you'll guide technology choices, develop architecture roadmaps, create coding frameworks, and drive innovative solutions in cloud and related technologies.

As Director of Credit Risk, lead the development of credit risk strategies, oversee the credit lifecycle, and optimize loan performance while managing relationships with stakeholders.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The role involves validating market risk models, utilizing statistical modeling and machine learning, and clearly communicating findings to stakeholders.

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.