Top Data & Analytics Jobs

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

Design and apply ontologies and semantic models to transform structured and unstructured data into actionable insights. Develop SPARQL queries, ontology-driven applications, and pipelines using Java, Python, and Bash. Collaborate with clients and lead teams on data exploration, NLP/text-mining, and machine-learning solutions.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

The Statistical Programmer analyzes large datasets using SAS and SQL, and applies various statistical methods such as regression and multivariate analysis, while collaborating effectively with team members.

The Clinical Statistician will provide statistical expertise and analysis in clinical research, focusing on high-dimensional data and methodologies, collaborating with medical groups for reports and FDA submissions.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

The role involves generating analytical insights, managing data projects, mentoring team members, and delivering actionable business intelligence solutions.

The role involves managing real-time information, attending industry events, and synthesizing complex data into clear formats while promoting knowledge management within the organization.

The Senior Economist will evaluate federal safety regulations, develop cost models, conduct market analyses, and provide expert testimony in legal contexts.

Designs and implements data pipelines and analytics solutions for risk management and audit processes, ensuring compliance and scalability.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.

As a Senior Associate in Business Operations, you will champion data-driven decisions and lead A/B testing to inform growth strategies, collaborating across teams to optimize user acquisition and operational efficiency.

The Business Operations Associate will leverage data-driven insights to enhance business strategies, partner with teams, execute experiments, and automate processes.

As a Data Engineer at Booz Allen, you'll leverage data science to analyze structured and unstructured data, develop algorithms, and guide teams in solving client challenges across various sectors.

The Data Engineer role involves working with data exploration, cleaning, analysis, and visualization. Key duties include leveraging statistical programming for data analysis, collaborating with stakeholders, and employing machine learning techniques, while providing insights from complex data sets.

As a Data Engineer, you'll analyze and clean data, develop algorithms, lead data-driven projects, and guide teams to transform data into actionable insights.

The Global Head of Claims Data & Analytics will lead the data and analytics strategy, enhancing decision-making and improving claims management through advanced analytics and data governance.

The Lead Actuary oversees actuarial work for Alternative Risk Transfer, collaborates with underwriting teams, supports pricing, and enhances predictive analytics tools.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Senior Analyst will implement AI and automation technologies in supply chain operations, enhance efficiency, and ensure compliance while collaborating with cross-functional teams.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.