Data Scientist

0307 eBay Europe Services Ltd; Dublin; On-site; EUR 50,000 - 70,000; Full time

Job summary

A leading e-commerce platform is seeking a Data Scientist to drive business impact through advanced data science methodologies in Dublin. The ideal candidate will lead data science projects, optimize large data queries, and implement machine learning algorithms. Candidates should possess an MS or PhD in a relevant field and have experience with tools such as R, Python, and SQL. This position involves collaboration with cross-functional teams and staying abreast of industry developments.

Qualifications

• MS degree or PhD in Statistics, Economics, Mathematics, or equivalent required.
• 0-3 years industrial experience in software/system analytics, ecommerce, or financial services preferred.
• Knowledge of statistical techniques including regression and hypothesis testing.
• Hands-on experience with data mining and big data query optimization.
• Excellent written and verbal communication skills.

Responsibilities

• Lead complex data science projects and model development.
• Conduct advanced SQL for big data query optimization.
• Design and implement statistical models and machine learning algorithms.
• Collaborate with teams to refine data solution requirements.
• Stay updated on industry developments and suggest new technologies.

Skills

Statistics

SQL

Machine Learning

Predictive Modeling

Problem Solving

Education

MS degree or PhD in Statistics, Economics, Mathematics

Tools

R

Python

SQL/Hive/Spark

Hadoop

Job description

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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.