Top Data & Analytics Jobs

The role involves developing and calibrating financial models, enhancing analytics frameworks, collaborating across teams, and applying quantitative methods to improve business performance.

The Senior Manager will lead model validation efforts, including economic forecasting and risk management models, while collaborating with business leaders and managing a team of analysts.

The role involves developing and deploying advanced quantitative models, utilizing machine learning and cloud solutions, and collaborating with various business lines to enhance financial processes.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

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

The Data Scientist II role involves data collection, analysis, and modeling to develop insights for financial crime risk, utilizing data science techniques and collaborating with diverse teams to create sustainable solutions.

The Data and Transformation Associate participates in training, collaborates on projects, analyzes data, and develops insights to support decision making.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Assist in the development and calibration of statistical models for credit decisions, loss forecasting, and performance testing. Support documentation, enhancements, and data evaluation processes while collaborating with senior peers.

The Associate will design and develop BI dashboards, assist with control testing, automate processes, collaborate with stakeholders, and maintain BI applications.

The Data Architect III is responsible for leading data strategies, overseeing data governance, and mentoring team members. They analyze data needs, develop BI solutions, and communicate effectively with stakeholders, all while ensuring high data maturity and alignment with organizational goals.

The role involves leading advanced analytics in HR to build a data-driven culture, utilizing predictive models, and overseeing data integration and visualizations for workforce insights.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The IT Director will lead data engineering and business intelligence initiatives, ensuring reliable access to data and overseeing analytics capabilities. The role demands collaboration with IT and business teams, management of platform stability, and leadership of technical teams, driving automation, data quality, and governance.

The IT Director of Business Intelligence leads data engineering and analytics initiatives, overseeing BI platforms, team development, and strategy deployment to enhance data accessibility and insights.

The IT Director leads data engineering and business intelligence operations, manages teams, ensures reliable data access, and integrates AI capabilities to support analytics and reporting.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

Drive measurement, experimentation, and analytical frameworks across product and engineering. Build scalable datasets, metrics, pipelines, and dashboards; analyze ML and LLM performance; surface operational risks and reliability insights; and influence product and infrastructure strategy through clear, data-driven recommendations.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

The Senior Data Analyst/Strategist will drive data strategy and governance initiatives for the Army, ensuring alignment with objectives. Responsibilities include advising senior leaders, developing AI/ML strategies, analyzing complex data, and maintaining policy compliance.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.