Top Data & Analytics Jobs

As a Process Analyst, you'll validate AI outputs, assess process map quality, collaborate with stakeholders, and recommend improvements to products and tools.

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.

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.

This role enhances technical platforms for financial crime detection, oversees product vision, manages risks, and collaborates across teams.

Lead the design and development of LendingClub's data and analytics platform, ensuring alignment with business objectives, building cloud-based architectures, and driving value from data for all business teams.

The Business Analyst will drive project work impacting revenue cycle improvements, utilizing data analysis for process enhancements and communicating findings.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

Join the dynamic data analytics team as a data analyst to provide decision support, lead projects, design metrics, and build reporting tools leveraging data insights.

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

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

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.

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.

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

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

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.

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

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

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.

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

The Manager of Business Analytics will lead data extraction and analysis within compliance frameworks, focusing on profitability and operations improvement.

The Director, CRE Analytics Solutions will drive innovative analytics solutions in commercial real estate, translating market needs into impactful technology, while collaborating with various teams.

The Director will lead the marketing intelligence transformation by designing measurement systems, integrating advanced analytics, and driving strategic partnerships for consumer insights.

The Principal Scientist will leverage data science to create machine learning solutions for operational challenges in pharmaceutical manufacturing, collaborating across functions and mentoring junior staff.

As a Research Engineering Intern, you will develop scalable ML solutions, collaborate with a global team, and innovate using modern software practices.