Top Data & Analytics Jobs

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The Associate Director for Research IT Data Management will oversee data solutions for R&D, manage a team, and collaborate with scientists to enhance data accessibility and governance.

Lead the technical direction and development of scalable ML systems for Roblox's economy, focusing on personalization, recommendations, and generative AI applications.

The VP of Decision Science & Risk Solutions leads a team to develop predictive models, enhance risk management strategies, and collaborate on data solutions to mitigate financial losses.

The Head of Business Intelligence will develop and execute a data strategy, manage a team of analysts, ensure data compliance, and drive member outcomes.

Lead custom AI solutions for enterprise clients by designing and implementing workflows, collaborating with teams, ensuring quality, and mentoring juniors.

Seeking experienced Quantitative Analyst to develop models, analyze data, and support investment decisions in collaboration with portfolio managers.

Lead the design, integration, and governance of investment data while collaborating with various teams to align data strategy with business objectives.

Lead the strategy and development of AI-driven autonomous shopping experiences, leveraging agentic AI for optimizing e-commerce. Collaborate cross-functionally to enhance user experience and drive business growth.

The role involves enhancing Visa's Responsible Data Use program, analyzing AI and data use cases, and ensuring compliance with data policies while fostering cross-functional collaboration and training initiatives.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

Assist in quantitative research and development, focusing on high-frequency trading, statistical arbitrage, and market-making strategies. Rotate through various tracks during the internship.

The VP of Data Science will lead Read AI's technical foundation in AI and ML, overseeing a team focused on building and scaling AI models and infrastructure.

As an AI Scientist at WorldQuant, you'll conduct machine learning research, produce trading signals, collaborate with portfolio managers, and develop predictive models.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

The Staff Data Scientist/Machine Learning Engineer will develop ML systems to engage retailers, mentor senior data scientists, and optimize marketing strategies using data insights.

The Strategy & Analytics Lead will drive product decisions through data-driven insights, collaborating with cross-functional teams to enhance business growth.

The Principal Data Scientist will develop algorithms, drive machine learning roadmap, collaborate with teams, and improve rider experiences through predictive models.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, while collaborating with a research team.

As a Quantitative Research Intern, you'll work on research projects involving statistical models and machine learning to improve trading algorithms and strategies, impacting real-world trading decisions.

Develop and implement algorithmic trading strategies using statistical models and machine learning, analyzing large data sets to predict market movements.

As a Quantitative Research Intern, you'll develop trading algorithms and analyze strategies using statistics and machine learning, impacting Optiver's trading decisions.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning while working with big data technologies.

Develop and implement algorithmic trading strategies using statistical models and machine learning to analyze and predict market movements while collaborating in a research team.