Top Data & Analytics Jobs

Lead the development of GenAI solutions, manage client engagements, build a team of consultants, and contribute to practice development in Generative AI.

The VP of Data, Analytics, and AI will lead data strategies, overseeing a team while enhancing data acquisition, governance, and monetization efforts.

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

Coordinate master data processes, establish guidelines for data entry, support staff training, ensure data accuracy, and analyze discrepancies. Collaborate with departments to improve system reporting and promote data governance.

The Senior Manager, Data Science will lead a team to develop machine learning models and insights from large data sets, focusing on financial services.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead data science strategy and innovation, develop data models, collaborate with stakeholders, and manage a high-performing data science team to drive business objectives.

Lead data science strategy at Arrive Logistics, develop models, mentor team, collaborate across departments, and drive impactful data initiatives.

Analyze data to support Airbnb's new business extensions, providing actionable insights on key metrics through advanced analysis and collaboration with teams.

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

The Senior Consultant will support organizations in leveraging location intelligence for decision-making in natural resource management and geodesign, while managing complex projects and fostering client relationships.

Responsible for measuring customer satisfaction, implementing digital solutions for feedback, and deploying AI-based analytics in product quality monitoring.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Executive Director will lead the Predictive AI Platform Suite, drive innovation, and ensure compliance with ethical standards while managing teams and resources.

Analyze and enhance monetization for publishers by interpreting data trends, developing monitoring systems, and optimizing bidding dynamics. Present insights and support yield strategies.

Internship in Demand Science focusing on consumer insights, demand forecasting, data synthesis, and analytics in a consumer packaged goods company.

Collaborate with teams to analyze data, extract insights, and present findings using analytics techniques in a fast-paced environment.

As a Senior Data Scientist focused on Payments & Fraud, you'll analyze data to reduce fraud, enhance payment flows, and collaborate across teams.

As an Associate Scientist/Engineer, you'll innovate and improve consumer products through R&D, collaborating across various technical areas.

The Director of Audience and Insights builds data solutions for audience strategies, advises clients, and collaborates cross-functionally to drive insights and activation.

As a Data Science Intern, you'll analyze data, create predictive models, and communicate insights while developing machine learning solutions for Capital One.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Lead and empower the data science team, coordinate with stakeholders, develop client relationships, manage project lifecycles, and drive continuous improvement in data science practices.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.