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Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether…
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of…
About Headwater Science Headwater Science (formerly NoviSci) is a data science and methods company specializing in principled, reproducible evidence generation for complex clinical and regulatory challenges. With deep…
About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the…
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
Data Scientist uncovers marketplace insights and runs experiments to drive operational decisions for DoorDash’s logistics platform using SQL, Python/R, and statistical techniques.
Data Scientist at DoorDash analyzes marketplace dynamics, runs experiments, and builds dashboards to guide global logistics decisions using SQL, Python, and statistical tools.
A senior marketing analytics leader who designs experiments, analyzes A/B tests, and derives customer insights to optimize DoorDash’s marketing spend and strategy in ANZ, collaborating with global teams and stakeholders.
Senior Machine Learning Engineer builds and optimizes deep-learning models for customer behavior prediction using PyTorch/TensorFlow, collaborating with client teams to drive business decisions at scale.
The People Research Data Scientist will design and conduct rigorous fairness and bias assessments for AI-assisted talent processes and decision-support systems at OpenAI. This role involves building scalable evaluation infrastructure and partnering with cross-functional teams to mitigate risks across the employee lifecycle.
The Senior Data Scientist will partner with cross-functional teams to translate business questions into data-driven recommendations using SQL, Python, and dbt. This role involves designing experiments, building analytical models, and shaping product and business strategy within an AI-native legal workspace.
The Senior Data Scientist will design, build, and deploy predictive and causal models to drive personalization, retention, and monetization strategies at Fetch. The role involves leveraging Python, SQL, and cloud data infrastructure to operationalize production-ready models and experimentation frameworks.
The Product Manager will lead the attribution and measurement strategy for TEGNA's ad tech platform, focusing on causal rigor and incrementality. They will define measurement roadmaps, manage MRC accreditation, and collaborate with engineering and data science teams to build robust reporting models.
Leads a team building and optimizing machine learning models for marketing attribution, customer acquisition cost, and lifetime value to drive growth in a fast-scaling fintech platform.
About Jobber Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered…
Software Development or Data Science intern (4–8 months, hybrid in Toronto) building financial products using React, TypeScript, Ruby on Rails, Python, Java, Kotlin, or data-science tools like Pandas, scikit-learn, and SQL.
The Senior Analyst will lead research conceptualization, data collection, and analysis within the skill development ecosystem. The role involves using tools like R, Python, and PowerBI to generate insights and policy-oriented reports.
Senior Machine Learning Engineer designs, trains, and deploys ML models for payment and business challenges using Python, PySpark, and Azure Databricks in a fintech environment.
Data Scientist analyzes property risk from natural disasters using diverse data sources, builds monitoring tools, and supports decision-making with statistical methods and cloud-based workflows.
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