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Data Scientist Ii, Product Analytics
Company | Expedia Group |
Address | Seattle, WA, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Software Development,Travel Arrangements |
Expires | 2023-08-21 |
Posted at | 9 months ago |
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- Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving partner experience and business results with a religious focus on impactful analytics
- Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports
- Own end to end process in designing and running experiments; proactively see opportunities and recommend new feature for test and learn
- Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies
- Collaborate with the product teams in strategy planning, goal setting and product performance review
- Make recommendations with effective presentations of findings through visual displays of quantitative information
- Take initiative to identify current and potential problems and opportunities, and recommend the best solution given the trade-offs
- Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.), identifying needs and managing expectations (meeting deadlines, maximizing impact, and minimizing surprises)
- Result-oriented, using the most efficient approach
- Curiosity and enthusiasm for making an impact along with strong attention to detail, combined with a high level of initiative and ability to thrive in a multi-tasking, dynamic and fast-paced environment
- 2+ years of experience in data mining, statistical modelling and business analysis
- Experience with data sciences tools such as SQL, R, Python, and Excel experience is required
- Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI
- Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques
- A strong analytical attitude and problem-solving skills, including the ability to break down complex scenarios into constituent parameters and to translate complex data findings into clear insights. Additionally, the storytelling ability to communicate insights
- Bachelor’s or Master's in an analytical field (STEM); or equivalent related professional experience
- Advanced degrees/qualifications in the above are a plus but not essential
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