Top Hybrid Data Science Jobs

Full-time 10-week data science internship working with large datasets to perform SQL analyses, evaluate model accuracy, and build a custom ChatGPT proof-of-concept for mapping hospital accounts. Collaborate with data scientists and stakeholders, present results to leadership, and support internal and customer-facing projects.

Lead a team of Data Scientists to enhance SoFi's lending operations through data analysis, while collaborating cross-functionally and managing projects.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

As a Staff Data Scientist at Sprinter Health, you will analyze clinical and operational data, design A/B experiments, and provide insights to improve care delivery and patient outcomes.

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

Develop and deploy AI-powered analytics tools, build proactive intelligence systems, and drive leverage across the business, impacting decisions with data.

Cybersecurity interns will support various initiatives within the Cyber team, focusing on security operations, governance, threat detection, and compliance while developing professional skills.

The Aftermarket Data Scientist I will conduct data analyses, implement machine learning techniques, and optimize data models to support business decisions in Cat Digital's Analytics Engineering team.

Interns develop advanced algorithms, execute statistical techniques on data, collaborate with stakeholders, and contribute to analytics and thought leadership.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with customer teams on analytics, improve product architecture, and refine ML algorithms.

Join Celonis as an Associate Technology Consultant in the Galaxy Graduate Program, focusing on AI, data analytics, and customer engagement. Gain hands-on experience and develop skills in data transformation, implementation, and collaboration with various teams.