Data Science and Analytics Manager

Job ID: 1407899 | Amazon Services EuropeSARL(LU)


Are you passionate about solving data problems with global impact? Do you like rolling up your sleeves and getting stuck into solving complex problems? Does working with a fast-paced scaling global team across countries and cultures sound exciting to you? If so, we're looking for a Data Science and Analytics Manager to create solutions that fundamentally solve problems and help our Sellers grow their businesses with Amazon.

Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by launching new features of our model, prioritizing analysis and data deep dives and developing novel means to solve complex problems. Invention has become second nature at Amazon, and the pace of innovation is only accelerating. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new products, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.

Responsibilities include:
· Hire and develop a new growing team with data science, business intelligence and business analytics expertise
· Establish the vision and data roadmap for the team, prioritizing the most impactful analysis, and guiding the team in solving ambiguous and complex problems
· Lead decisions with data and insights, set analytics goals, and identify the right levers to achieve those goals
· Collaborate with worldwide teams and stakeholders to ensure we advocate a culture of collaboration, knowledge sharing and minimize duplication
· Lead the team to achieve reusable data sets and/or models that can be productized or used by other teams, identifying and setting the right levers to achieve those goals
· Uncover new opportunities to use machine learning to establish a model that will enhance and personalize our offering


· 5+ years of experience in data science or analytics roles
· 2+ years of people management experience, managing data scientists, data engineers and data analysts
· Experience partnering with product teams to define goals, metrics, and experiments
· Track record of guiding teams through unstructured technical and data problems to deliver business impact
· Demonstrated experience of delivering end-to-end data science projects, from initial scoping, design and implementation, to deployment and maintenance
· Breadth of experience in standard machine-learning libraries and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)
· Experience in programming in R, Python, Scala or similar languages and maintaining production code repositories
· Graduate degree in Statistics, Computer Science, Engineering, or equivalent experience


· Passion about e-commerce and solving complex data problems
· Experience developing experimentation tooling and best practices