Top Data & Analytics Jobs
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
The Sr. Data Scientist will lead machine learning and AI projects focused on enhancing operational efficiency and customer experience. Responsibilities include creating statistical models, collaborating with stakeholders, leading execution of projects, and assessing new data sources. The role requires proficiency in statistical modeling and machine learning, primarily using Python and SQL.
The Principal Database Administrator will support mission-critical database systems, provide technical direction for complex data challenges, and manage multiple projects. Responsibilities include designing, implementing, and maintaining database systems while ensuring performance optimization and after-hours support. Strong expertise in SQL Server, AWS, and Azure is required, along with problem-solving skills and the ability to work in a dynamic environment.
Featured Jobs
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
The Lead Data Engineer will analyze complex datasets to derive insights, design statistical models, implement data solutions, and mentor team members. They will use data science and engineering skills to build predictive models and recommend technological advancements to enhance business productivity.
The Database Engineer will provide expertise in database architecture and design, manage Azure SQL and Postgres environments, optimize performance, and ensure reliable data systems. Responsibilities include troubleshooting, disaster recovery strategy development, and maintaining high availability of database systems.
The Data Analytics Engineer will design and implement datasets, optimize SQL queries for performance, ensure data integrity, maintain documentation, and support data strategy across the organization. The role involves collaboration with stakeholders to provide accurate data solutions and continuous improvement of data infrastructure.
The Senior Scientist will focus on optimizing biopharmaceutical production through cell culture, purification, and molecular biology techniques. Responsibilities include conducting laboratory experiments, project planning, and developing innovative product applications in collaboration with R&D teams.
The Data Scientist will support US Sales Operations by utilizing advanced analytical techniques to create data models and visualizations. This role involves leveraging structured and unstructured data to identify trends, make forecasts, and provide insights to enhance sales performance. Responsibilities include developing dashboards, driving initiatives related to big data analytics, and collaborating with various business units.
As a Data Engineer on the Research Tools team at Anthropic, you will improve algorithms and infrastructure used for training AI models, focusing on performance and usability. You'll work on high-performance systems that enhance productivity for researchers and engage in projects related to fine-tuning large language models and optimizing training processes.
Top Companies Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
