working for trunk club when you join trunk club you join the nordstrom family our fastpaced and entrepreneurial environment is paired with the strong history and experience of a retail legacy we have access to some of the greatest minds in retail and technology and are constantly creating innovative strategies to develop the ultimate apparel solutions we welcome your adaptability your curiosity and your passion to contribute to our unparalleled shopping experience who we are at trunk club we develop machine learning algorithms that enable the business to make datadriven decisions from whom marketing targets for reengagement credits to which merchandise to recommend for a given customer our data scientists dive into readily accessible data and tools thanks to our diligent data engineering team our stack provides data scientists the capability to easily turn an algorithm into an api and run followup ab tests using a range of multivariate models at your disposal every team relies not only on the data insights collected but more importantly in the clever ways that we present it at every step in our experience data science helps drive trunk club every member plays a critical role in influencing the company on the best ways to grow and change you will have autonomy to collaborate with every team and be directly connected to decision makers without bureaucracy what youll do build machine learning models that power our apps and inventory classification our preferred language is currently python research and develop predictive algorithms using various supervised and unsupervised statistical concepts such as time series multivariate methods glm and bayesian inference continue to invest and expand our core skillsets in the areas of big data machine learning techniques such as gradient boosting bagging recommender systems and nlp collaborate with internal and external stakeholders to identify business opportunities and how to translate the opportunities into actionable analytical solutions work with technology partners to test and implement solutions communicate and present algorithm solution and outcome with other teams through data visualization what your background may look like ms in a quantitative field from a top ranking program phd is preferred 3 years of relevant industry experience post academia proficiency with python jupyter and spark is preferred will also consider strong quantitative candidates with background in r or other programming languages experience with working in an agile team environment experience with communicating and presentation highly quantitative concepts to a nonquant audience who you are a selfstarter you love what you do and are motivated to find the next improvement opportunity a learner you have an insatiable thirst for knowledge and greater understanding a conversationalist you speak the language of statistics and you can communicate with technical and nontechnical users alike an innovator youre interested in the why and the solutions that make things more interesting and efficient how we work with others we collaborate crossfunctionally to solve problems and deliver the best products for our customers with transparency we have an open collaborative team