Top Data & Analytics Jobs

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

This role involves providing risk analytics support in areas such as Credit and Fraud, leveraging AI for insights, and conducting in-depth data analysis for risk strategies.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The Business Analyst will optimize the Advisor Insights Platform, collaborate with teams for product development, and ensure compliance with data standards.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

As a Data Scientist, you will analyze and visualize complex data sets, ensuring data quality and deriving actionable insights for investment strategies.

The role involves improving a conversational AI by fine-tuning models, developing engaging features, and leading technical decisions across the stack.

The Biostatistician will integrate ML approaches in clinical trial design and analysis, conduct case studies, and collaborate with teams on methodologies.

The Associate Director, Analytics leads the Experience Analytics team in optimizing marketing performance through data-driven insights and innovative solutions while managing a team and collaborating across departments.

Lead catastrophe modeling in insurance and reinsurance operations, integrating risk analytics into decision-making while fostering innovation and evolving modeling capabilities.

This Machine Learning Engineering Internship allows students to work on real ML projects, mentored by full-time employees, combining learning experiences with practical applications.

Lead the development and scaling of data and analytics products for Mars Pet Nutrition's digital transformation, driving strategic initiatives and collaborating across functions to achieve business impact.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

Lead global data analytics solutions for Trade Promotion Management, driving strategic revenue management and fostering a data-driven decision-making culture across markets.

The Senior HR Data Analyst transforms workforce data into actionable insights, leading advanced analytics and reporting to support HR strategy and decision-making.

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

The Quantitative Researcher will analyze blockchain data to develop trading strategies using statistical and machine learning techniques, collaborate with teams, and support model performance evaluation.

The Fraud and Lead Quality Analyst analyzes and manages fraud detection and lead quality assurance programs, providing data-driven insights and improvements across various business units and platforms.

Manage programmatic advertising campaigns, analyzing performance data, collaborating with teams, optimizing strategies, and communicating insights effectively to achieve client goals.

The Data Analytics Architect designs and evolves a scalable big data platform, guides the analytics team, and assesses technologies for analytics solutions.

As an Innovation Analyst at GEICO, you will analyze and optimize claims processes, collaborate with cross-functional teams, and aid in implementing innovative technology enhancements to improve efficiency and customer experience.

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

Lead and manage a data science team to optimize financial products through quantitative analysis, experimentation, and collaboration with various teams. Build reports and support product launches while ensuring effective communication with senior leadership.

The Associate Director will lead modeling and simulation activities to optimize drug development processes, employing advanced analytics, machine learning, and population modeling with minimal supervision.

Oversee the data and analytics function, leading teams to develop data products and strategize data-driven decisions. Manage projects and resources for achieving business objectives.