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Description

We are looking for a Senior Business Intelligence Engineer to work alongside our Applied Scientists to build statistical and ML models directly for Amazon's largest vendors, working directly with Vendors' senior leaders to tackle their most critical problems in eCommerce.

At Amazon Vendor Services (AVS) we are rapidly building a new service line, new not only to Amazon Japan but in the World Wide marketplace. Our AVS Professional Services (ProServe) team will go deep with our largest and most sophisticated vendor customers, combining elite client-service skills with cutting edge data science techniques, backed up by Amazon’s 20+ years of experience in Japan. We start from the customer’s problem and work backwards to apply distinctive results that “only Amazon” can deliver.

You will work directly with our scientists to prototype custom solutions with potential to scale to hundreds of vendors, and even change the market, with consultants to understand the pain points of Amazon's largest vendors and translate them into a working strategy, and with product managers to deliver solutions at scale through a new paid service. As a member of the team you will also work with vendors, team members, and AVS internal and external partners to give input into the way we work, how we serve customers, and where we invest in future capabilities.

This is an ideal position for those looking to deliver impactful solutions for real business problems, while understanding and applying cutting edge ML solutions developed together with our scientists. It is also an ideal position for candidates with analytics background looking to transition into science roles as part of their future career trajectory.

Key job responsibilities

The Sr. BIE is accountable for:

(1) Working closely with frontline consultants, distilling technical problems from business requirements.

(2) Defining together with PMs requirements and design for a scalable deployment of solutions through paid services

(3) Identify appropriate metrics and feature sets for the problem, and build/maintain automated pipelines for their extraction.

(4) Work closely with our scientists to design scalable model architectures.

(5) Utilizing Amazon systems and tools to effectively work with terabytes of data.

(6) Independently apply models developed by science team to vendor use cases and draw business conclusions from results.

(7) Actively contribute to and maintain internal team BI infrastructure.

(8) Prepare materials for vendor facing presentations and distil vendor problems into technical requirements.

About the team

In this position, 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 the areas of causal inference, representation learning, anomaly detection, NLP and forecasting. Apart of working on AVS ProServe, you will be exposed to all other projects the team works on: we believe that collaboration is paramount, and working in isolation does not lead to a happy team.

We place strong emphasis on continuous learning through internal mechanisms for our team members to keep on growing their expertise and keep up with the state of the art. Our goal is to be primary science team for vendor solutions in Amazon, worldwide.

We are open to hiring candidates to work out of one of the following locations:

Tokyo, 13, JPN

Basic Qualifications

• 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• 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

Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:

https://www.amazon.jobs/en/landing_pages/passivesmoking

就業の場所における受動喫煙を防止するための措置に関する事項については、下記リンク先をご覧ください。

https://www.amazon.jobs/jp/landing_pages/passivesmoking

The salary information can be provided individually prior to the 1st interview

賃金に関する条件は、１次面接の前に個別にご案内することができます