Job Description
At eBay, a global ecommerce leader, we're reinventing the future of commerce. The Cloud Data Technologies (CDT) team manages all data infrastructure, including experimentation and end-to-end data lifecycle. We seek a Data Scientist passionate about driving business impact through advanced data science. This role involves improving decision-making speed and quality, and producing actionable insights from data, contributing to projects like ML-driven bot detection and A/B testing improvements.
Good To Have:
- Knowledge of R
- Python
- Hadoop
Must Have:
- Lead complex data science projects and model development.
- Conduct advanced SQL for big data query optimization.
- Design and implement advanced statistical models and machine learning algorithms.
- Collaborate with cross-functional teams to define and refine data solution requirements.
- Stay updated on industry developments and suggest new technologies or methodologies.
About the Team and the Role:
Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure, including experimentation platform and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases.
We are seeking a Data Scientist who is passionate about driving business impact by utilizing advanced data science methodologies to improve the decision making speed & quality, and produce actionable insights from data.
Some of the projects that you have a chance to work on include: ML driven bot traffic detection, building customer profile, various A/B testing methodology improvements like Interleaving tests, sequential testing, bayesian methods.
What you will accomplish:
- Lead complex data science projects and model development.
- Conduct advanced SQL for big data query optimization.
- Design and implement advanced statistical models and machine learning algorithms.
- Collaborate with cross-functional teams to define and refine data solution requirements.
- Stay updated on industry developments and suggest new technologies or methodologies.
What you will bring:
- MS degree or PhD (preferred) in Statistics, Economics, Mathematics, or equivalent is required.
- 0-3 years industrial experience, preferably in software or system analytics, ecommerce, or financial services will be regarded favorably
- Knowledge of statistical techniques including regression, time series analysis, hypothesis testing, combining disparate data sources.
- Expertise with applying predictive modeling techniques, statistics and information retrieval methods to real-world data
- Hands on experience with SQL/Hive/Spark, data mining and big data query optimization
- Extensive experience with large data sets and data manipulation.
- Knowledge of R, Python, Hadoop is preferred,
- Excellent problem-solving skills and experience in deploying predictive models in production environments.
- Superior communications skills, both verbal and written
- Attention to detail and data accuracy.
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