What you’ll do:

• You will be familiar with Python, Scala or R, or any other major machine learning programming language.

• You will extract data from multiple data sources and combine into the required datasets for model building or analytics.

• You will apply a range of common statistical methods to business problems determining the ideal method for the problem considering underlying assumptions.

• You will solidly understand hypothesis testing and will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis.

• You will challenge business processes recommending and developing solutions to meet unique business needs and achieve objectives.

• You will know and apply data visualization principles consistently resulting in clear and consistent outcomes.

• You will influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and is concise in what’s included. Present clearly and engagingly and anticipates questions.

• You will have an extensive experience of big data architecture (streaming events, data lakes, analytics engines) and relational database models as it relates to analytics.

• You will pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e. not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution.