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# Data Scientist - Cloud Data Technologies

- **Company:** eBay
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Big Data, Cloud Database, Data Infrastructure, Data Systems, Apache Hadoop, Python (Programming Language), Machine Learning, Multivariate Testing, Cloud Platform System, Sql Optimization, Apache Spark, Scikit Learn, Information Technology, Software Library
- **Published:** September 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pjrbyq6r3y

## About the Role

* 5+ years of relevant experience with a master's degree or Ph.D. in Computer Science or another quantitative field.
 * Experience building statistical or machine learning models and evaluating model performance.
 * Proficiency in Python or R and relevant machine learning libraries, such as scikit-learn or GBM.
 * Advanced SQL skills, including experience optimizing queries for large-scale data.
 * Experience working with Hadoop and Spark in cloud environments.
 * Strong problem-solving skills and experience deploying machine learning models in production environments.
 * Clear communication skills, with the ability to explain complex findings to non-technical audiences.

## Description

The Cloud Data Technologies (CDT) team at eBay is responsible for eBay's data infrastructure, including the experimentation platform and the end-to-end data lifecycle, from onsite data through to analytics use cases.

We are seeking a Data Scientist to help improve the speed and quality of decision-making by applying advanced data science methods and turning complex data into actionable insights. You will have the chance to work on projects involving machine learning-based bot traffic detection and customer profile development. This includes improving A/B testing methods such as interleaving tests, sequential testing, and Bayesian methods.

What you will accomplish

 * Contribute to complex data science projects, from analysis through model development and performance evaluation.
 * Develop and implement advanced statistical models and machine learning algorithms to address business and data challenges.
 * Support experimentation and causal inference initiatives, including A/B and multivariate testing and improvements to testing methodologies.
 * Use advanced SQL to work with large-scale datasets and optimize big data queries.
 * Collaborate with multi-functional teams to define requirements and develop data solutions that support effective decision-making.
 * Contribute to machine learning use cases such as bot traffic detection and customer profile development.
 * Evaluate relevant developments in data science and identify new technologies or methodologies that could improve existing approaches.


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