Data Scientist – Cloud Data Technologies

JOB DESCRIPTION

At eBay, we're more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

About the team and the role

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.

What you will bring

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.

Additional Details

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