Lead Data Scientist

Minneapolis-based Target Corporation (NYSE: TGT) serves guests at over 1,800 stores and at Target.com. Since 1946, Target has given 5 percent of its profit to communities, that giving equals more than $4 million a week.

The Lead Data Scientist 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.com and Mobile.

Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Lead Data Scientist, you’ll take the lead as you… * Implements solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics * Deploys data-science and technology based algorithmic solutions to address business needs for Target’s digital business * Understand and evaluate new commerce data technologies to determine the effectiveness of the solution and its feasibility of integration with Target’s current digital commerce platforms * Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive Target business priorities * Configure and implement Natural Language Processing, Latent-Dirichlet Analysis, Topic Modeling, search relevance * Design large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models

**Requirements** * M.S. in math, advanced statistics, physics, bio statistics, bio science, operations research and/or computer science * 3+ years of experience deploying algorithms in a production environment * Experience designing algorithms on Hadoop ecosystem * Experience with recommendation systems * A strong passion for empirical research and for answering hard questions with data * Excellent written and verbal communication skills