Top Data & Analytics Jobs

The IT intern will support AI and Data Science projects, assist in troubleshooting, provide technical support, and collaborate with teams in a remote setting.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

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.

The Director of Data Enablement and Reporting will lead data governance and analytics efforts for the R&D organization, ensuring AI readiness and compliance while collaborating with stakeholders and driving a data-centric culture.

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

The role involves leading data science projects, developing dashboards, and providing actionable insights, particularly for digital yield intelligence initiatives.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Director of Integrated Insights and Analytics will lead processes for insights gathering and dissemination, focusing on strategic decision-making in the pharmaceutical industry.

The role focuses on driving brand success through actionable insights from data analytics, strategic planning, and managing a high-performing team within the pharmaceutical sector.

The Content Reviewer will evaluate and enhance educational materials in Computer Science, ensuring accuracy and clarity for diverse student levels while collaborating with instructional designers.

The Founding Data Engineer/Data Scientist will design and build data systems for payments and fraud, ensuring data accuracy and enabling analytics. Responsibilities include establishing data pipelines, models, quality checks, and documenting processes while collaborating with stakeholders.

This role involves underwriting cyber insurance for middle market businesses, managing broker relationships, ensuring profitability, and collaborating with teams to improve services and processes.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

As a Senior Clinical Data Science Lead, you will lead clinical data management strategies, oversee data analysis for trials, and guide teams in data governance and quality control.

The Consultant will assess, prioritize, and model demand across the organization, working with stakeholders to ensure effective decision-making and delivery outcomes, requiring strong analytical and financial skills.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

The Senior Manager, Data Science - Patient Growth will own the marketing analytics strategy and lead a data science team focused on improving patient acquisition through data-driven measurement and growth analytics.

The Sr Manager, SMB Analytics oversees data analytics functions, leading teams to align analytics initiatives with business strategies and deliver high-quality insights.

Lead the vision, roadmap, and delivery of analytical products for marketing and sales, driving insights to maximize revenue growth through collaboration and data-driven methodologies.

Lead omnichannel analytics strategy, measure non-personal promotion effectiveness, and develop data-driven insights for commercial strategy. Collaborate across teams to optimize digital engagement and enhance analytics capabilities.

Lead a team of actuarial data scientists to redefine insurance pricing and reserving through innovative technology while communicating with clients and providing insights on actuarial processes.

Lead the Forward Engineering team to develop Spotfire-based AI and industry analytics solutions. Drive client engagements, field engineering programs, and cross-functional collaboration with product and engineering to grow Spotfire Industry Analytics offerings.