Top Senior Level Data Science Jobs in San Francisco, CA
As a Data Scientist at Roblox focusing on App Performance, you will work on enhancing the performance and reliability of the Roblox app by defining critical metrics, measuring impact, and using statistics and experiments to guide decision-making. You will collaborate with engineers, product managers, and leaders to create the best app experience for users across all devices.
As a Distinguished Architect at ServiceNow, you will lead AI initiatives, architect intelligent products using cutting-edge technologies like deep learning, large language models, and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and share thought leadership in the AI industry.
As a Distinguished Architect at ServiceNow, lead AI initiatives focusing on cutting-edge technologies like deep learning and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, conduct competitive analysis, and showcase thought leadership in the AI industry.
The Senior Staff Data Scientist at SoFi will develop predictive models, perform monitoring, and contribute to loss forecasting and CECL models across various products. They will also collaborate with different teams, lead projects, and automate models and dashboards.
Staff Data Scientist role at a financial services company leading model development and performance monitoring for loss forecasting across various products. Responsibilities include data analysis, model automation, and collaboration with internal teams. Ideal candidate has 6+ years of experience with a Master's or PhD degree in a relevant field, proficiency in Python, SQL, and Tableau, and expertise in model development and data analysis.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
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Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze large volumes of data, build AI models, and engage in applied research.
The Senior Manager, Data Science on the LLM Customization Team at Capital One will lead a cross-functional team to deliver AI-powered products, leverage NLP technologies, build models, and translate technical work into business goals.
Partner with the Trust organization to deliver insights about customers and identity systems using data. Build data visualizations, monitor metrics, and communicate findings to stakeholders.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
Collaborate with cross-functional teams, apply data analysis and experimentation, shape product development, and communicate insights.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
Snap Inc is seeking a Sr. Data Scientist to apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful insights for informed business decisions. Responsibilities include conducting machine learning analyses, collaborating with cross-functional teams, and driving data-driven product solutions.
Looking for a Machine Learning Scientist to join the Machine Learning and Data Platform team at a fast-growing livestream shopping platform. Responsibilities include developing and deploying machine learning solutions, leading initiatives, and working across product areas. The ideal candidate should have 5+ years of experience in the industry and extensive skills in Python, SQL, and data science tools.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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