AI Job Radar

causal inference Jobs – Page 10

Aktuelle KI-Jobs mit causal inference, passende Lernpfade und Bewerbungsbezug.

How to use causal inference in applications

If a job requires causal inference, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

137
Results
30
Companies
91.4
Average score
50
Remote

10 results on this page. 137 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

San Francisco, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on applying data science to improve developer productivity *specifically* within the context of building and using AI systems (LLMs). The description highlights analyzing AI-augmented development workflows and tooling. The prefe…

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

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Data Scientist, Product

Anthropic · San Francisco, CA

90/100
San Francisco, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on data science within an AI company (Anthropic) building and deploying frontier AI. Responsibilities center around deriving insights from product & user data to improve AI products, strategy, and operations using advanced stati…

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

Details Open source / apply

San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role is explicitly focused on building analytical foundations, models and experiments *for pricing* at a company whose core business IS AI. The job requires deep quantitative skills to solve complex pricing problems directly tied to product usage and reve…

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-lev…

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Data Scientist, Ads Demand

OpenAI · San Francisco

90/100
San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role is explicitly focused on building measurement and insight foundations for an ads platform, requiring deep expertise in data science techniques (causal inference, experimentation, forecasting) to optimize advertiser performance and demand strategy. Th…

About the Role OpenAI's ads business is scaling quickly. 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. You will partner closely with Ads Sales leadership and Ads Product leader…

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Data Scientist, Identity

OpenAI · San Francisco

90/100
San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role is explicitly focused on defining metrics, building analytical frameworks, and driving improvements through experimentation within a core product area (Identity). The emphasis on causal inference and product data science strongly indicates a core AI/…

ABOUT THE TEAM OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growt…

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San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role explicitly focuses on building 'AI-native measurement and decision-support workflows' using LLMs and agents. The core responsibilities revolve around applying data science and experimentation to B2B marketing with a strong emphasis on leveraging AI t…

Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement About the Role 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 deman…

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Data Scientist, Link

Stripe · Canada Locations

90/100
Canada LocationsUSAgreenhouse2026-09-09

Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models, conducting statistical analysis, and driving data-informed decisions across various aspects of the business. The description highlights a strong emphasis on AI/ML techniques for fr…

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…

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United StatesUSAgreenhouse2026-09-09

Why this is a real AI job: The role explicitly focuses on building and maintaining marketing measurement models (MMM), geo-experiments, and data pipelines, all of which are core data science and AI/ML tasks. The mention of 'AI-Accelerated Prototyping' and 'AI coding agents' further sol…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

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Toronto CoworkingUSAgreenhouse2026-08-25

Why this is a real AI job: The role explicitly focuses on building and scaling incentive systems using algorithms, optimization models, and machine learning techniques. Responsibilities heavily emphasize data science tasks like model development, experimentation, and causal inference.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…

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New York, NYSwedenPermanentlever2026-08-19

Why this is a real AI job: The role explicitly focuses on building and optimizing ad experiences using machine learning, data analysis, and experimentation. The core responsibilities revolve around ML model development and deployment.

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale b…

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