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Company | eBay |
Address | San Jose, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-09-02 |
Posted at | 8 months ago |
Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.
- Work with business partners to scope analysis to answer key business questions – challenge their thinking and become a trusted business partner. Help the business prioritize analytical deliverables and manage their expectations.
- Perform exploratory analysis of large data sets.
- Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and providing structured, hypothesis-driven and data-supported practical solutions
- Have strong empirical and analytical background, with demonstrated ability to combine quantitative and qualitative findings to frame the right questions and measurable insights
- Derive tactical and strategic insights to improve business strategies and accelerate channel growth
- Be a lateral problem solver, who constructively challenges the obvious answer to examine the underlying mechanism or phenomenon
- Bachelor’s degree in Math, Statistics, Engineering, Computer Science or other quantitative subject area
- Hypothesis testing and experience with experimentation (A/B testing)
- Experience with data visualization tools (e.g., Tableau, Power BI) to create visually impactful reports and dashboards
- 5+ years of experience in data analytics, data science or related field with a Bachelor’s degree Or 4+ years of experience with a Master’s degree
- Excellent communication and presentation skills with the ability to proactively collaborate with cross-functional teams and convey complex information to both technical and non-technical stakeholders
- Solid understanding of statistical modeling techniques and their application to business scenarios
- Background in ecommerce retail domain is a plus
- Strong technical skills in data analysis tools and programming languages (SQL, Python/R, and Excel) to manipulate and analyze large, complex datasets
- Participate in design discussions, code reviews and project related team meetings
- Develop technical & domain expertise and apply to solving product challenges.
- Build solutions using your strong background in large scale web applications.
- Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs.
- Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
- Experience driving architecture discussions, producing well-documented design docs, participating in design and code reviews and contributing to coding and unit testing of fault-tolerant applications.
- 10+ years of experience crafting & developing highly scalable distributed platforms and services and internet scale web applications.
- Deep architectural understanding of system design and lead project to completion and must have solid knowledge and experiences with relational database (oracle) and/or noSQL data technologies (Mongo, Cassandra, Couchbase), ElasticSearch and related toolset.
- BSCS, BSEE, MSEE or MSCS, PhD or similar technical degree.
- Solid understanding of computer science fundamentals, data structures and algorithms along with up-to-date knowledge in advancement in Web technologies and drive innovation.
- Expert hands on experiences in Java/J2EE, SOAP, SOA Services, Design Patterns, OOA/D , Data Structures, XML, REST, JSON, and Internet Protocols.
- Strong collaboration skills and ability to influence a multi-functional and cross-geography team to deliver results.
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