Top Scientist Jobs in San Francisco, CA

As a Data Scientist, you'll design statistical models, implement ML lifecycles, explore AI techniques, visualize data, and communicate insights.

The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

Lead data-quality and labeling efforts for perception ML: implement scalable quality measures, drive data-centric model improvements, maintain ontology/class structure, evaluate human vs auto-labeling trade-offs, and build metrics for labeling throughput and annotator/vendor quality.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

As a Core Product Data Scientist, drive insights through data analysis, collaborating with cross-functional teams and developing A/B testing strategies for product enhancement.

The Senior Data Scientist will forecast revenue, build reports and dashboards, analyze performance metrics, and collaborate on analytics projects within Extend.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

Drive measurement, experimentation, and analytical frameworks across product and engineering. Build scalable datasets, metrics, pipelines, and dashboards; analyze ML and LLM performance; surface operational risks and reliability insights; and influence product and infrastructure strategy through clear, data-driven recommendations.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

Lead a team to develop and implement insurance modeling for homeowners, focusing on loss and demand modeling while maintaining model performance and fostering cross-functional collaboration.

As a Data Scientist, you will shape data science efforts, work with teams to understand product usage, mentor junior staff, and build data products.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

The Sr. Data Scientist develops AI/ML solutions, builds data pipelines, mentors technologists, and collaborates with teams to meet operational goals.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

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 designing AI-powered systems for offensive security, building data pipelines, deploying models, and collaborating on security automation.