Top Data Science Jobs

The Research Scientist will conduct independent research for a News Platform, focusing on quality evaluation of documents and misinformation detection. Responsibilities include collaborating with product managers, designing experiments, analyzing data, and communicating solutions effectively with cross-functional teams. You will benefit from a fast-paced environment promoting meaningful contributions from day one.

Seeking a Senior Scientist to lead feasibility efforts with novel concepts and chemistries, drive wet-lab research projects, mentor junior scientists, and contribute to the development of new products in the field of single-cell genomics and bioinformatics.

As a Senior People Scientist at Palo Alto Networks, you will lead strategic people analytics projects and provide insights to support G&A functions. Your role involves conducting research, developing analytics models, advising leadership, creating visualizations, and staying updated on industry trends.

The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.

As a Data Scientist at BrightAI, you will extract insights from complex datasets using statistical analysis and machine learning. Responsibilities include developing predictive models, visualizing data, collaborating with teams for deployment, and adhering to data governance standards while staying updated with data science advancements.

The Cassandra DBA will design, build, and maintain NoSQL distributed database systems with a focus on Datastax Cassandra, while also managing legacy databases like PostgreSQL and MySQL. The role requires automation skills using Terraform and Ansible, and experience with cloud platforms like Google Cloud or AWS. Responsibilities include implementing large-scale database infrastructures, monitoring performance, and ensuring 24x7 operations with no downtime.

The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.