Data Scientist – Cloud Data Technologies

Posted 10 Hours Ago
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Dublin, IRL
In-Office
Senior level
eCommerce • Retail
The Role
Work on data infrastructure and cloud ML projects to improve decision-making. Build and evaluate statistical and machine learning models, support experimentation and causal inference (A/B testing, Bayesian methods), optimize large-scale SQL queries, and collaborate cross-functionally to deploy ML solutions like bot detection and customer profiling.
Summary Generated by Built In

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

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.


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Skills Required

  • 5+ years relevant experience with a Master’s degree or Ph.D. in Computer Science or quantitative field
  • Experience building statistical or machine learning models and evaluating model performance
  • Proficiency in Python or R and machine learning libraries such as scikit-learn or GBM
  • Advanced SQL skills, including optimizing queries for large-scale data
  • Experience working with Hadoop and Spark in cloud environments
  • Experience deploying machine learning models in production
  • Strong problem-solving and clear communication skills for non-technical audiences

eBay Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.

  • Healthcare Strength Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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