Top Data & Analytics Jobs

The Senior Economist will analyze CPSC regulations, develop benefit/cost models, conduct market analyses, and evaluate firm financial health.

The Sr. Director will lead advanced analytics, data strategy, and governance frameworks to enhance commercial decision-making and drive business outcomes through data-driven insights.

Develop predictive models using machine learning and 3D data, prepare data using cloud resources, and iterate solutions in a team-oriented environment.

The Director of Research will lead systematic equity research, drive innovative investment ideas, mentor a research team, and engage in client collaboration.

Design and drive Elanco's Databricks platform capabilities: define reference architectures, enable product teams, build scalable data pipelines, prototype integrations, automate processes, partner with stakeholders and vendors, and ensure alignment with enterprise data and AI architecture.

The Head of Data will define and execute Crosby's data strategy, build data systems, enhance AI performance, drive analytics, and lead the data team.

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.

The Senior Data Scientist will develop optimization models, manage the model lifecycle, and collaborate across teams to enhance Lyft's marketplace efficiency and strategy.

As a Data Engineer at SpaceX, you will develop strategies and tools for assessing Starlink's business health, extracting insights from data, and optimizing customer acquisition in collaboration with technical and business teams.

As a Program Manager, you will lead the ML data lifecycle, ensuring high-quality datasets for Waymo's autonomous driving models, while managing cross-functional programs and communicating with various stakeholders.

Lead and manage global teams delivering commercial analytics and technology initiatives for Life Sciences, while driving projects related to field force design and sales effectiveness.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Agap Technologies, Inc. offers online Machine Learning training with real-time instruction, immediate support, interview training, and OPT guidance for enrolled trainees.

The Quantitative Research Analyst will develop execution strategies, conduct market research, and analyze execution costs for Futures and FX trading.

The Data Management/Governance Specialist will develop frameworks, ensure compliance with data policies, establish quality standards, and provide training on governance best practices.

The Open Science Data Steward will manage research data lifecycle, ensure data quality, support integration with AI systems, and foster collaboration with researchers.

The Senior Director, Intelligence leads analytics initiatives, managing teams to develop insights and frameworks that enhance decision-making across Duck Creek Technologies. They ensure scalable and trusted analytics while collaborating with product, engineering, and business stakeholders to drive data-informed strategies and operational excellence.

The Vice President, Data Governance & Strategy leads UMG's enterprise data strategy and governance framework, ensuring data accuracy, compliance, and leveraging data for business growth in the music industry.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Head of Data will shape the data architecture, manage data infrastructure, and facilitate insights through self-serve analytics while collaborating with AI teams.

The intern will work with experts to extract and visualize data, document methodologies, and provide innovative insights to business challenges.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.