Top Remote Data Science Jobs in San Francisco, CA
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
As an NFL Data Scientist, you will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, documentation, and collaboration with data engineering and product teams.
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
As a Senior Causal Inference Data Scientist at Discord, you will provide statistical expertise in the rebuilding of the experimentation platform, collaborate with engineering and product teams to enhance experimentation reliability, and educate cross-functional teams on causal inference methodologies. You will also lead causal inference research and empower the wider Data Science team.
The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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