Top Scientist Jobs in San Francisco, CA

As a Senior Data Scientist, you will evaluate revenue growth opportunities, develop analytical frameworks, create executive reports, and ensure data accuracy, influencing business decisions through strong technical execution and communication.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Senior Data Scientist will evaluate revenue growth opportunities, develop analytical frameworks, produce reports, and ensure data accuracy for decision-making.

Lead custom analytics and ML model development for non-prime lending using traditional and alternative data. Scope and deliver credit strategies (underwriting, pricing, collections), engineer features, evaluate data sources, present insights to clients, and support model implementation, monitoring, and optimization.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

As a Computer Vision Data Scientist, you will create and optimize AI solutions in regulated environments, collaborating with teams to deploy machine learning models and improve outcomes across healthcare settings.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

Lead design and evolution of a multimodal document understanding and structured extraction platform. Build multimodal model strategy and multi‑agent orchestration, fine‑tune models, define metrics, ensure quality controls, and integrate outputs into business systems.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

Lead experimental design and strategic research to drive user growth for Yahoo Mail. Collaborate with product, design, and engineering to run A/B and multivariate tests, build predictive and ML models, analyze large-scale data, and present actionable insights to technical and non-technical stakeholders.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.