Lead Data Scientist - Machine Learning

3 days left

Employer
Target
Location
Minneapolis, Minnesota, United States
Posted
May 23, 2018
Closes
Jun 26, 2018
Category
Business
Employment Status
Full Time
Description: JOIN US AS A LEAD DATA SCIENTIST - MACHINE LEARNING (MSP DIGITAL LAB)About This OpportunityJoin the Target.com interactive team, where your goal is to make the digital shopping experience as simple, secure and enjoyable as a visit to your local Target store. You'll develop strategies that drive sales and innovation while creating a fast, fun experience that inspires guest loyalty.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 hyper-growing Target.com and Mobile platforms/services.  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…
  • Execute solutions to business problems using data analysis, data mining, optimization tools, and Machine Learning techniques and statistics
  • Deploy data-science and technology based algorithmic solutions to address business needs for Target's Digital business
  • Evaluate new and lead-edge 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
  • Implement Natural Language Processing, Latent-Dirichlet Analysis, Topic Modeling, search relevance
  • Execute 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 Mathematics, Advanced Statistics, Physics, Bio Statistics, Operations Research, Computer Science or equivalent work experience
  • 3+ years of experience deploying algorithms in a production environment
  • Experience designing algorithms on Hadoop ecosystem
  • Experience with recommendation systems and Optimization tools
  • A strong passion for empirical research and for answering hard questions with data
  • Excellent written and verbal communication skills
Preferred Requirements:
  • PhD in Mathematics, Advanced Statistics, Physics, Machine Learning, Computer Science or equivalent work experience
  • Extensive experience working with large data sets and models within ecommerce or fintech products/solutions

Qualifications:

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