Top Data Science Jobs in San Francisco, CA
The role involves designing and maintaining the Research & Data Platform (RDP) for the Fundamental Equity Tech team at BlackRock. Responsibilities include managing back-end technologies and data infrastructures using Python and databases, as well as utilizing front-end tools like Tableau and Miro. The candidate will also lead initiatives to innovate and integrate new technologies and tools within the investment management process.
Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.
The Senior People Scientist will lead in HR and engagement, aiding customers in survey design, result analysis, and performance management. They will present scientific insights to clients and guide them in understanding workforce dynamics, simplifying people analytics, and fostering community engagement.
Featured Jobs
As a Staff Data Scientist, the candidate will apply data science methods to our AI products, design datasets, promote evidence-based decision-making, and improve research and analytics processes through standardization and mentorship.
The Decision Scientist will generate insights to drive business growth by acquiring and cleaning data from multiple sources, structuring data models, analyzing data for insights, and delivering those insights to executives. They will collaborate with teams to understand business problems and support Salesforce's data culture expansion.
The Lead Applied Research Scientist will guide the responsible development of AI products at Salesforce, focusing on ethical practices in generative AI, conducting risk assessments, and collaborating with various teams to implement improvements in AI design and safety.
.png)
As a Research Scientist at Databricks, you will advance deep learning techniques, create novel methodologies for training generative AI models, and work collaboratively with a diverse team to improve model capabilities and user accessibility to AI technologies.
The GenAI Research Scientist at Databricks will advance scientific frontiers in deep learning by developing new techniques for large language models (LLMs). Responsibilities include staying current with research, creating methods to enhance model capabilities, evaluating these methods, and communicating findings to ensure usability for customers.
.png)
The role involves building data science infrastructure for Generative AI products, developing evaluation frameworks for LLM efficacy, adapting statistical models for economic problems, and collaborating with stakeholders to drive product decisions and insights.
The SEAL Research Scientist/Research Engineer will be focused on designing and implementing evaluation benchmarks, researching red teaming methods, and developing automated rating systems. The role emphasizes collaboration, technical research, and prototyping, targeting improvements in AI safety and evaluation processes.
.png)
Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
.png)
As a Data Scientist at Lyft, you will develop mathematical models and algorithms for fraud and identity problems. Collaborating with various teams, you will conduct exploratory data analysis, write production code, and analyze experimental data to enhance the integrity of platform services.
As a Data Scientist, you will develop analyses and mathematical models for rider pricing at Lyft, working on optimization and prediction challenges. You'll collaborate with various teams to use data insights to drive decisions, establish performance metrics, and enhance rider and driver experiences.
As a Senior Data Scientist in the Rider Science team at Lyft, you will leverage your skills in economics, statistics, and machine learning to tackle complex problems, contribute to decision-making, and design algorithms that enhance rider experiences. Your role involves leading projects, conducting data analysis, developing models, and collaborating with cross-functional teams.
The Staff Data Scientist will lead data-driven projects, analyze and interpret data, develop KPIs, create dashboards, and collaborate with cross-functional teams to enhance product analytics efforts. Responsibilities also include modeling, presenting insights to leadership, and mentoring junior scientists.
The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
.png)
.png)
.jpg)
All Filters
No Results
No Results
