Data Scientist, Amazon

• 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
• 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)

Desirable

• We are looking for a Data Scientist (DS) to build statistical and ML models directly for Amazon’s largest vendors, working directly with Vendors to tackle their most critical problems in eCommerce
• 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
• 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
• 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