Top Scientist Jobs in San Francisco, CA

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.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

The role involves developing AI chatbots, organizing text data, testing virtual agents, and collaborating with customers to enhance user experiences in AI-driven solutions.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

The Senior Data Scientist will drive causal inference initiatives, develop measurement systems, mentor colleagues, and collaborate on product innovations to enhance the rider experience.

Lead the development of scalable Generative AI pipelines, collaborate across teams, and optimize machine learning workflows in a remote setting.

The role involves developing data products and insights, collaborating with various teams, and improving reporting to enable better business decisions.

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

The Accounting Data Scientist will utilize advanced analytics and SQL to enhance financial management and audit readiness, transforming complex data into actionable insights.

Design, implement, and evaluate transformer and generative-AI based NLP systems for clinical text. Process and enrich medical datasets, mitigate model risks (bias, hallucination), run experiments, and deploy models into the cloud with ML engineering partners to ensure reliability and compliance in regulated healthcare environments.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop credit risk analytics, build reports and dashboards, ensuring client alignment and data quality while mentoring junior members.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.

The Data Scientist will develop data-driven solutions to measure and manage credit risk using machine learning methodologies, mentor junior scientists, and collaborate with stakeholders to inform decision-making.

The Senior Data Scientist will analyze data to support product features, conduct quantitative research, and collaborate with cross-functional teams to enhance creator monetization efforts.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.

As a Data Scientist II, you'll design and implement advanced deep learning models for fraud detection and risk management while collaborating across teams and managing projects autonomously.