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Associate Director-Product Analytics
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Associate Director-Product Analytics
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Data Scientist II, Product Analytics - Bengaluru, India - Expedia Group
Description
Data Scientist II , Product Analytics
Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate about the endless possibilities.
This position will mainly partner with various teams in product, data, engineering, strategy, and other business teams to optimize traffic, conversion, content coverage & other metrics to improve the user experience.
This will be a mid-level individual contributor role partnering with product managers within the Content org.In this role, the candidate will contribute to many aspects of product development, including understanding user behavior, designing and analyz AB tests, building product recommendations, opportunity sizing, and problem-solving.
What You Will Do:
Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience
Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies
Own end to end process in designing and running experiments (A/B tests); proactively see opportunities and recommend new feature for test and learn
Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports
Collaborate with the product teams in goal setting, opportunity sizing, product performance review and strategy planning
Structure problems, extract and analyze data, and present the findings to corporate leadership and internal stakeholders
Apply your knowledge with Python, or R, or any other major ML programming language to generate insights and solve business problems using ML
Who
You Are:3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor's in mathematics, engineering, science, statistics or technical degree
Expertise working with large data sets and proficiency in SQL, Excel
Experience in at least one programming language (R/Python)
Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques
Experience with digital analytics tools such as, Adobe Analytics, and experience with BI tools such as Tableau, Power BI
Excellent verbal, written, and data visualization skills
Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog
Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.)