DESCRIPTION
We are looking for a Data Scientist (DS) to build statistical and ML models directly for Amazons largest vendors, working directly with Vendors to tackle their most critical problems in eCommerce.
At Amazon Vendor Services (AVS) we are rapidly building a new service line, new to the EU. An AVS Professional Services (ProServe) team will go deep with our largest and most sophisticated vendor customers, combining elite client-service skills with advanced data science and analytical techniques. We start from the customers 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 Amazons 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 appropriate statistical and ML solutions. 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 role will be accountable for:
- Working closely with frontline consultants, distilling technical problems from business requirements.
- Defining together with PMs requirements and design for a scalable deployment of solutions through paid services.
- Defining the right analytical questions for a business problem and identifying the correct statistical, ML or optimisation formulation for the problem.
- Identifying appropriate metrics and feature sets for the problem, and build/maintain automated pipelines for their extraction.
- Utilising Amazon systems and tools to effectively work with terabytes of data.
- Preparing materials for vendor facing presentations and distil vendor problems into technical requirements.
About the team
You will be a part of a diverse data and analytics team representing more than 10 nationalities and sitting across 4 EU countries. Our current projects touch on the areas of ML, causal inference, NLP and forecasting. Apart of working on ProServe client projects, you will be exposed to other projects the team works on. We believe that collaboration is paramount, and working in isolation does not lead to a happy team. We focus on people and team, knowing this focus is central to our long-term success. The broader EU ProServe team will comprise of consultants, PMs and vendor-facing teams.
BASIC QUALIFICATIONS
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
- Experience applying theoretical models in an applied environment.
- Experience working as a Data Scientist.
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab).
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language.
- Experience in a ML or data scientist role with a large technology company.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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