Description: JOIN US AS A LEAD DATA SCIENTIST - LOYALTY PERSONALIZATION / AI PRODUCTS

Join Target's Data Science and Engineering team where you can help us define and shape what the future of retail would look like. Let's mine the right data to derive actionable insights that drive value across the global enterprise!In Target's hyper-growing Data Science and Engineering team, the Lead Data Scientist for our Loyalty Personalization team will contribute as follows:

Anticipates future business needs and identifies opportunities for complex analysis

Gathers and analyzes data to solve and address highly complex business problems and evaluate scenarios to make predictions on future outcomes and support decision making

Designs and drives the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools for Target

Use your skills, experience and talents to contribute to groundbreaking thinking and visionary goals. As a Lead Data Scientist, you'll take the lead as you:

Realize solutions to business problems using data analysis, data mining, optimization tools, and machine learning/deep learning techniques and statisticsDeploy data-science and technology-based algorithmic solutions to address business needsProduce large scale implementations of: Linear, Non-Linear and Generalized Linear models and their extensions, including Hierarchical and Bayesian variants; Survival models; Spatial and Time-series models; Machine Learning algorithms such as Neural Networks; Support Vector Machines, and so on.

Requirements:

M.S in Computer Science, Math, Statistics, Physics, Economics, Operations Research or related quantitative field

3+ years of experience deploying algorithms in a production environment

Strong engineering mindset and exposure to software engineering principles, Agile methodologies, data pipeline engineering, distributed systems and ML at scale

Experience designing algorithms on Hadoop ecosystem at scale

Experience designing algorithms for a relevance system such as a personalized tool, search/ranking, recommendations, forecasting, marketing - loyalty, etc.

Proficient in one or more of Python, Java/Scala, C, C++ and deep learning frameworks such as PyTorch, Tensorflow and Keras

A strong passion for empirical research and for answering hard questions with data

Excellent written and verbal communication skills

Preferred:

PhD in Computer Science, Math, Statistics, Physics, Economics, Operations Research or related quantitative field

Publications in top journals and conferences such as ACL, EMNLP, NAACL, COLING NIPS, KDD, AAAI, IJCAI, ICML, WWW, WSDM, etc.

Qualifications: