San Francisco Data Scientist $100k jobs • $100k Data Scientist jobs in San Francisco • high paying Data Scientist jobs San Francisco • six figure Data Scientist roles with remote and hybrid options when available.
OpenAI · 5mo ago
The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business.
We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized.
As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting.
As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace.
We’re looking for a product data scientist to help OpenAI create more value and drive sustainable growth for young people, families, and learners.
We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability.
Cloud service providers give developers a way to use OpenAI models in the environments where they already build and run software.
OpenAI · 23d ago
The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.
OpenAI · 1mo ago
We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production.
The Strategic Finance Data Science team helps OpenAI understand business performance and make informed decisions about growth, revenue, and resource allocation.
We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently.
We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s real estate and workplace operations.
The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework . Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks.
We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
Focus on building and deploying machine learning solutions for design tools, analyzing user data to drive product improvements.
Join Pinterest's mission to inspire creativity and lasting memories through data-driven innovation. This senior role focuses on core platform challenges and user experience optimization.
Our largest customers want data scientists who work directly with their teams.
Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin & Custody products.
You will be the primary owner of risk data science at Earnest, driving the development of sophisticated credit risk, underwriting, fraud detection, collections, and loss forecasting frameworks that directly shape portfolio health and the unit economics of our lending products.
As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform.
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development.
We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike.
As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function.
We're hiring a Senior Data Scientist to be the team's lead modeler. You'll work hands-on with our strategic customers' data to tailor, retrain and validate the models that tell their sales and marketing teams which accounts and buyers to focus on.
As we scale our self-service analytics and DS capabilities, we’re looking for a Principal Data Scientist, Analytics to develop scalable data & analytics solutions and framework, and intuitive tools that bring insights directly to business teams.
As the first Senior Data Scientist for Product, you’ll partner with our product, design, and engineering teams to understand user behavior, identify opportunities, and measure the impact of what we build.
As a Data Scientist at David AI, you'll turn our data into decisions. You'll help figure out what we should be building, measure whether it's working, and lay the foundation for how the company defines, stores, and trusts its data.
Each customer has their own requirements for how an AI agent should be evaluated, and the narratives we build have to start there and hold up long after the decision is made.
When people sign up for Chime, we want to know which marketing efforts brought them in and which ones brought in members who stay and use their account. You will set the direction for how Chime answers that question. You will be the senior analytics leader for paid marketing.
Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with…
Lyft · 22d ago
Partner with other Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context. Write production code.
Technical Leadership: Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products (Business Travel, Lyft Pass, Concierge) in ambiguous, high-impact problem spaces.
Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context. Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes.
San Francisco, USA
San Francisco, Canada
