Top Data & Analytics Jobs

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

As a Machine Learning Scientist, you will advance medical NLP, contribute to research, develop methods, and collaborate with clinicians to create impactful solutions.

The Senior Manager will define the data science strategy for the Risk & Safety sub-team, leading a team of data scientists to enhance safety in autonomous vehicles by using data insights for decision-making.

The Senior Data Scientist will develop machine learning models to enhance site personalization and support data-driven solutions, collaborating with cross-functional teams.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

This role involves performing data-related tasks such as data collection, evaluation, annotation, and tagging across various content types, primarily aimed at improving AI-generated content.

As a Machine Learning Scientist, you will apply machine learning methods to NLP and analytics tasks, collaborate with teams, and research innovations.

Develop and deploy machine learning models for Hinge's dating platform, collaborating with teams and mentoring junior engineers.

Data Scientists will develop and implement data analysis strategies, communicate findings, and extract meaning from large datasets for government missions.

Join the Technology Analyst Graduate Program to support technology operations, innovate products, and collaborate with teams to align tech with business needs.

Lead the development of market insights and forecasting strategies for Roche's Pharma products, integrating data to enhance decision-making and outcomes.

Lead the quantitative research strategy at AlgoQuant, manage a team of researchers and data scientists, and ensure the integration of research into trading operations using advanced technologies.

Lead the Global Alpha Researcher Program, develop alpha strategies, mentor researchers, and align program goals with the company's objectives.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

Oversee advanced data analytics to enhance fraud prevention and customer experience. Work with cross-functional teams to implement solutions for high-risk accounts and drive project delivery.

The Senior Computer Vision Engineer will research, design, and develop AI solutions focusing on computer vision and machine learning, improving algorithms, and enhancing team productivity.

The Staff Machine Learning Engineer will build and maintain ML/AI infrastructure, provide technical leadership, and collaborate with teams to deliver production-grade ML solutions.

The Human Data Operations Manager will design annotation workflows for ML, establish data benchmarks, and partner with cross-functional teams to enhance evaluation processes.

Lead the ML privacy vertical, developing algorithms to prevent data leakage, conducting evaluations, and collaborating with engineers to deliver applications.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

The role involves applying quantitative analytics to influence business strategies, managing risk, and developing innovative analytics for mortgage performance.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

The Director of Fraud will lead Rho's fraud strategy, develop a team, and implement advanced fraud detection systems to minimize risk and losses.

Lead Rho's fraud strategy by implementing prevention and detection frameworks, managing a fraud team, and collaborating across departments to minimize fraud risks.