Top Data & Analytics Jobs

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Analyze and assess emerging and disruptive technologies' implications on national security, produce intelligence assessments, and support object-based intelligence production. Collaborate with technologists to integrate advanced analytics into workflows.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

The Lead Analyst, Analytics will develop advanced analytical models using machine learning, assist in the design of AI solutions, and communicate insights to cross-functional teams.

The Lead Analyst, Analytics will develop and maintain analytical models, apply machine learning, and perform data analysis to enhance decision-making within the retail/CPG domain.

The Director will lead the vision and execution for Commercial Excellence AI, optimizing marketing strategies and enabling teams with AI tools to enhance effectiveness.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

The Quantitative Researcher will focus on creating predictive alpha signals, applying ML techniques, and optimizing execution in cash equities. Close collaboration with teams to maximize P&L opportunities is key.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

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.