Top Remote Data Science Jobs in San Francisco Bay Area, CA

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Develop AI tools using statistical modeling and establish pipelines for causal inference and predictive analytics to assist political campaigns.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

The Product Data Scientist will develop data-driven solutions for enhancing player experience, analyze game telemetry, and innovate game analytics tooling.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Data Scientist 2 will develop fraud detection models and advance products focusing on identity verification, requiring strong technical skills and research capabilities.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

The Staff Data Scientist will enhance Pinterest's Shopping experience through machine learning, causal inference, and robust methodologies, impacting product strategy and mentoring junior data scientists.

The Data Scientist II will develop and implement machine learning models to optimize GoGuardian's platforms, communicate findings, and improve data processing workflows.

The Data Scientist will analyze complex data sets, support product improvements, and collaborate with teams to drive data-informed decision-making.

The Data Scientist II role involves designing and implementing machine learning models for fraud detection, analyzing data patterns, and collaborating with cross-functional teams to enhance identity verification products.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

Develop and program methods to consolidate and analyze data sets, generating insights for customer solutions and program enhancement, while collaborating with vendors and technology teams.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

The Associate Data Scientist will build and evaluate machine learning models, derive insights from data, and collaborate on data science solutions to solve complex problems.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.