Top Data & Analytics Jobs

Lead strategy and execution for marketing analytics platforms and data products, driving cloud modernization, data-as-product operating models, governance, data quality, observability, and enterprise adoption to deliver trusted insights and measurable business outcomes.

Lead analytics and CX insights for Wealth and Wholesale, building executive-ready decision products that drive revenue, client deepening, and operational efficiency. Own insight strategy, unify VOC/behavioral/operational data, advance AI-enabled analytics, establish trusted metrics, scale reusable analytics assets, and develop high-performing teams while partnering across a matrixed enterprise.

Manage and secure enterprise data systems, govern statewide Power BI and AI readiness, maintain ETL/data integration, ensure data quality and compliance, support cloud migration, provide reporting and user support, and collaborate across agencies to enable data-driven decision-making.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead design and delivery of Snowflake-based data solutions, data models, ETL pipelines and data warehouse applications. Provide architecture direction, drive technology transformation and POCs, evangelize modern data architecture, collaborate with global stakeholders and Agile teams, and apply advanced analytics (ML/AI/GenAI) while ensuring data security and PII management.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Full-time, on-site Fall internship in Los Angeles for enrolled CS/CE students. Build data structures for finance KPIs, publish dashboards to automate reporting, review and enhance reporting systems, and apply ML and LLMs to drive automation and business insights.

Lead design, implementation, and scaling of enterprise Palantir data solutions. Oversee cross-functional teams to build data pipelines, integrations, governance, and advanced analytics (ML/AI). Manage project delivery, stakeholder engagement, performance optimization, and mentor senior engineers and analysts while ensuring security and regulatory compliance.

Lead residual value forecasting and strategy for U.S. and Canada, overseeing modeling, validation, product translation, and customer engagement to ensure accurate, explainable, and revenue-driving residual analytics.

Licensed MD applies clinical expertise to extract, model, validate, and maintain clinical relationships for a healthcare knowledge graph. Works with data scientists and SMEs to build training datasets, support CDS product development, ensure clinical accuracy, and provide analytics and evidence-based insights to improve search, discovery, and point-of-care workflows.

Lead design and implementation of Power Platform solutions to modernize legacy civil engineering and logistics applications. Integrate and redesign workflows, support application and database modernization, build dashboards and automated workflows, implement automation and machine learning, and provide mission-critical sustainment support for capital project prioritization and supplemental appropriation programs. Onsite at Washington, D.C.

Analyze complex credit card portfolio data to identify trends, build statistical and machine learning models, define KPIs, and deliver actionable insights to leadership. Use cloud data tools, mentor junior analysts, develop business cases and presentations, and support hiring and performance management.

Design and manage enterprise data architecture and strategy; create conceptual, logical, and physical data models; integrate systems; implement security and governance; plan and execute large-scale data solutions; manage data lifecycle and platform selection; collaborate cross-functionally.

The Analyst will consult for talent and manage projects within the UTA Creators Team, utilizing data science and machine learning to provide insights and solutions in the creator economy.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

Develop and execute quantitative models and analytical methods to assess credit risk for Single Family mortgage products (modification, short sale, foreclosure, distressed valuation). Independently design, implement, and validate predictive models, support business and risk decisions, perform data cleaning and processing, and collaborate with stakeholders to provide practical, innovative solutions.

Lead enterprise analytics and data product strategy, defining an AI-enabled data marketplace, semantic models, governed self-service analytics, and tooling roadmaps. Partner with business and tech teams to translate needs into data products, shape AI-enabled capabilities, ensure trust and governance, drive adoption, and measure business value and quality.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

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.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

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

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.