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Key job responsibilities
As part of this role you will:- Participate in developing strategy for turning data into actionable insights
- Inspect key metrics to uncover trends and root causes of issues.
A day in the life
In this role you will have exposure to all phases of the product life cycle including researching customer/seller needs, developing opportunity models, and building operational metrics. You will develop and maintain scalable, automated, user-friendly tools, reports and dashboards to support product strategy and operational performance. You will work closely with regional and global BIEs to work smarter, faster, and generate big ideas. The ideal candidate will be passionate about working with big data sets, exposure to data science, and contributing to product design.
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, hands-on experience of building ML solutions on AWS
- Familiarity with data science and machine learning concepts is a plus.
- Experience maintaining data warehouse systems and working on large-scale data transformation using AWS technologies like S3 and Redshift.
- Comfort with ambiguity and eagerness to learn new skills.
- Experience with enterprise-class BI tools like QuickSight, PowerBi or Tableau and coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.).
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