Top Entry Level Data Science Jobs

As a Principal Scientist on the Translational team, you'll be responsible for driving the development and execution of translational strategy for projects moving from discovery to early clinical development, with a focus on hematologic malignancy programs. You'll lead the implementation of clinical biomarker strategies, communicate translational updates, define novel mechanisms of resistance, and contribute to preclinical to clinical translation of pipeline assets.

Join our technology implementation team to work on data visualization solutions and dashboard design for clients using Exiger technology. Responsibilities include data wrangling, cleansing, modeling, management, and creating visualizations. Must have a degree in Computer Science or Management Information Systems and proficiency in SQL-based databases and BI tools like Tableau.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.

As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.

The Data Operations Specialist will support the ProBio Supply Chain team by providing data-entry, administrative, and customer service support. Responsibilities include managing master data, conducting data quality checks, analyzing reports, collaborating with cross-functional teams, and ensuring accurate data processing within the management system.

The Software Data Science and Analytics Engineer will analyze data to drive process efficiency and support decision-making regarding global project sourcing. Responsibilities include database development, data analysis, dashboard creation, and engagement with cross-functional teams to improve data accuracy and support business decisions.