Top Data Science Jobs

The Senior Analyst will develop, evaluate, and optimize predictive models for Baseball Operations, collaborating closely with the team to influence player personnel decisions. Responsibilities include designing data pipelines, crafting reports and visualizations, and integrating analytics into team applications.

The Credit Analyst at Nabis will collaborate with the Director of Strategic Finance to expand the Nabis Capital platform, analyze creditworthiness of businesses, manage partner relationships, process financing requests, and drive efficiency through process improvements and performance reporting.

As a Credit Analyst II, your primary responsibilities include analyzing financial documents to evaluate the creditworthiness of loan applicants, preparing credit reports, making underwriting recommendations, and collaborating with colleagues to communicate decisions and address inquiries.

The Senior Data Scientist will collaborate across multi-disciplinary teams to build tools for data visualization and analysis, monitor CAR-T development processes, and facilitate QC to ensure product quality. Responsibilities include integrating high-dimensional data, creating dashboards, analyzing data from clinical trials, and driving understanding of mechanisms affecting patient outcomes.

As a Senior Data Scientist at Juniper, you will leverage 90,000+ patient data to derive insights, define key metrics, and establish a data-driven culture. You will create and maintain dashboards, enhance data quality, and work collaboratively across functions to drive business decisions using data analytics.

The SDS and Logistics Compliance Specialist ensures global regulatory compliance for Safety Data Sheets and product labeling while managing logistics master data. Responsibilities include overseeing SDS creation, audits, logistics cost analysis, and compliance training for employees. The role demands strong knowledge of regulations and excellent communication skills.

As a Staff Data Scientist, you'll lead data research and analysis, develop and validate models for business objectives, collaborate on production-grade data products, and contribute to building a data science practice at Grid.