Top Scientist Jobs in San Francisco, CA

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

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

This role involves defining and testing opportunities to influence decision-making through data analysis, collaborating with cross-functional teams, and developing actionable insights from people data.

The role involves research and development in Generative AI, focusing on training large foundation models for multimodal outputs and integrating them into Adobe products.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with customer teams on analytics, improve product architecture, and refine ML algorithms.

The Senior Data Scientist will leverage data to inform product strategy and business decisions, conduct analysis, build models, and support stakeholders through data-driven insights.

As a Senior Field Scientist, you'll design and execute field studies, analyze customer data, mentor junior scientists, and present findings to senior stakeholders, driving impactful research in marketing effectiveness.

Lead and manage a team researching embedding models and retrieval systems for AI, focusing on relevance, adaptive reasoning, and innovative representation techniques.

As a Protection Scientist Engineer, you will design systems to identify and mitigate product abuse while collaborating with various teams. Responsibilities include monitoring abuse, automating processes, and investigating escalations, requiring strong technical skills in analysis and data.

As a Research Scientist, develop machine learning techniques, advance research agendas, and collaborate with peers to achieve impactful results.

The Research Scientist will conduct original research on AI interpretability, prototype visualization techniques, and collaborate on research-to-production projects.

The Director, Decision Scientist will shape product strategy, define risk policies, leverage data for continuous improvement, and maximize customer LTV.

The AI/ML Scientist will develop machine learning solutions for physics-based simulations, ensuring production readiness while collaborating with cross-functional teams and addressing customer challenges.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

The role involves managing nonclinical safety programs, providing scientific review, communicating results, and integrating strategies within research teams.

Develop predictive models and optimization algorithms, collaborate with various teams, and analyze data to enhance business decision-making and operational improvements.

As a Staff Data Scientist, you will lead analytics efforts, design experiments, influence product strategy, and mentor teams to drive decisions and improve mental health outcomes.

As a Staff Data Scientist, you'll partner with the CEO, analyze macroeconomic impacts, leverage AI for insights, and mentor juniors while developing data products.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Staff Data Scientist, you will lead the Growth Analytics team, implementing data science techniques to drive product-led growth and influence strategies across various teams.

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

As a Staff Data Scientist, you'll provide insights using causal inference, lead forecasting efforts, and mentor team members while collaborating with executives.

The Senior Data Scientist will develop predictive models, apply machine learning for marketing initiatives, and optimize growth strategies by collaborating with cross-functional teams to drive customer acquisition and retention.

As a Data Scientist, you'll provide insights to executives, use causal inference and forecasting methods, and build data products to impact business decisions.