Top Data Science Jobs in San Francisco Bay Area, CA

The Senior Data Scientist will analyze marketing initiatives through predictive modeling and statistical analysis, and collaborate with multiple teams to optimize strategies and drive growth.

As a Data Scientist at Nextdoor, you will design experiments and conduct analyses to drive product strategies while collaborating with cross-functional teams.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

The Data Scientist will develop and apply novel machine learning approaches for Ad-Tech products, leading best practices in model development and deployment.

The role involves partnering with marketing teams, managing data science projects, establishing metrics, and driving data-driven culture and insights. Requires expertise in statistics, programming, and business intelligence tools.

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.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

As the first Data Scientist at Fable Security, you will analyze raw data, develop models to predict risks, and enhance security products using AI.

The Data Scientist Manager leads measurement and quantitative forecasting for user-risk, mentoring a team and delivering impactful metrics. Responsible for defining strategy, building user baselines, and producing executive reports.

As a Data Scientist, you'll analyze large datasets, develop predictive models, collaborate on data pipelines, and communicate findings to stakeholders while applying advanced AI/ML techniques.

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

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

As a Data Scientist I, you'll collaborate on machine learning projects, analyze data, develop algorithms, and communicate findings effectively to business leaders.

This role involves collecting and analyzing complex data sets, developing predictive models, and generating insights for business decisions.

A Data Scientist at Airtable will design ML models, support CE business processes, conduct strategic analysis, and develop dashboards while communicating insights effectively.

Lead the Data Science team at Quizlet, conducting in-depth analyses, mentoring staff, and establishing core metrics to drive product initiatives and business outcomes.

The Data Scientist will develop advanced analytics solutions, optimize bioprocessing, perform data analysis, and collaborate across teams to improve product quality in biomanufacturing.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

As a Data Scientist, you will analyze large datasets, translate client goals into analytical solutions, and communicate findings effectively. You'll collaborate with teams to improve analytics processes and ensure data quality.

Analyze complex data sets, develop predictive models, collaborate with stakeholders for data-driven decisions, and ensure data quality.

As a Data Scientist at Experian, you will deploy and monitor AI and machine learning solutions, collaborate with various teams, and work on innovative AI projects.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.