Top Scientist Jobs in San Francisco, CA

Provide scientific oversight and data quality for late-stage oncology clinical trials; author protocols and regulatory documents; analyze emerging safety and efficacy data; partner cross-functionally to execute phase 3/pivotal programs and support regulatory submissions and governance.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

As a Staff Applied Scientist at Coinbase, you'll develop causal inference models, establish measurement standards, provide technical mentorship, and guide product development with data-driven insights.

As a Senior Applied Scientist, you'll lead pricing experimentation, develop pricing models, analyze impact, and communicate insights to leadership while collaborating with cross-functional teams.

Lead research on small language models, develop training methodologies, optimize architectures, ensure AI safety and mentor teams.

As a Staff Applied Scientist, you'll research and implement Generative AI solutions for enhanced customer experiences, focusing on machine learning models and intuitive SaaS applications.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

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 Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

As a Staff Data Scientist, you'll partner with the CEO, analyze macroeconomic impacts, leverage AI for insights, and mentor juniors while developing data products.

The Senior Data Scientist will develop predictive models, apply machine learning for marketing initiatives, and optimize growth strategies by collaborating with cross-functional teams to drive customer acquisition and retention.

As a Data Scientist, you'll provide insights to executives, use causal inference and forecasting methods, and build data products to impact business decisions.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Staff Data Scientist, you will lead the Growth Analytics team, implementing data science techniques to drive product-led growth and influence strategies across various teams.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

As a Marketing Data Scientist, you will build automated reporting pipelines, ensure data quality, and collaborate with teams to optimize marketing analytics.

The Senior Marketing Data Scientist will develop and maintain marketing measurement systems, automate data pipelines, and ensure compliance in offer executions, collaborating with cross-functional teams.

The Marketing Data Scientist role involves optimizing media spend, maintaining dashboards, supporting marketing forecasts, and collaborating with senior data scientists for insights.