Top Data & Analytics Jobs

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.

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

The intern will support the development of AI-driven solutions for decarbonization, building models, and integrating sustainability data.

Lead predictive model development and MLOps practices to enhance product performance, collaborate with cross-functional teams, and mentor junior data scientists.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.

This internship program offers hands-on experience in data analytics, engineering, and AI/ML, working on projects that impact business decisions and collaborating with data professionals.

The Senior Risk Data Analyst will shape risk analytics at Breeze, focusing on data metrics, fraud prevention strategies, and client partnerships.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

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

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

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.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

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.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

As a Senior Staff Machine Learning Engineer, you will enhance Coupang's search and discovery systems using advanced algorithms, focusing on information retrieval and recommendation systems, requiring significant industry experience.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.