Senior Business Intelligence Engineer
We are seeking a highly skilled Senior Business Intelligence Engineer to collaborate with our Applied Scientists in building statistical and ML models directly for Amazon's largest vendors.
This role requires working closely with Vendors' senior leaders to tackle their most critical problems in eCommerce.
As a member of the AVS Professional Services (ProServe) team, you will combine elite client-service skills with cutting-edge data science techniques backed up by Amazon's 20+ years of experience in Japan.
Key Responsibilities:
- Work closely with frontline consultants to distill technical problems from business requirements.
- Define requirements and design for scalable deployment of solutions through paid services.
- Identify appropriate metrics and feature sets for problems, and build/maintain automated pipelines for their extraction.
- Design scalable model architectures with our scientists.
- Utilize Amazon systems and tools to effectively work with terabytes of data.
- Apply models developed by the science team to vendor use cases and draw business conclusions from results.
- Contribute to and maintain internal team BI infrastructure.
- Prepare materials for vendor-facing presentations and distil vendor problems into technical requirements.
About the Team:
You will be part of the JP Retail Science team, consisting of scientists and business intelligence engineers collaborating with Product Managers and Software Developers worldwide.
Our current projects touch on areas such as causal inference, representation learning, anomaly detection, NLP, and forecasting.
Continuous Learning:
We place strong emphasis on continuous learning through internal mechanisms for our team members to grow their expertise and keep up with the state of the art.
Our goal is to be the primary science team for vendor solutions in Amazon worldwide.
Location:
We are open to hiring candidates to work out of one of the following locations: Tokyo, Japan.
BASIC QUALIFICATIONS
- 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Experience programming to extract, transform, and clean large (multi-TB) data sets.
- Experience with theory and practice of design of experiments and statistical analysis of results.
- Experience with AWS technologies.
- Experience in scripting for automation (e.g., Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning, and data mining.
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience managing, analyzing, and communicating results to senior leadership.
Salary:
The salary information can be provided individually prior to the 1st interview.
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