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EDABI Data Science Graduate Intern

Target


Location:
Minneapolis, MN
Date:
12/12/2017
2017-12-122018-01-10
Job Code:
1005560
Target
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Job Details


Job Description


EDABI Data Science Graduate Intern(Job Number:TAR0005DQ)

Our award-winning website and mobile app make it easy for guests to shop on the go. The team you’ll be joining ensures that the online and mobile experiences are always true to our brand. You will learn from a team of expert and versatile experts that are building futuristic products and researching groundbreaking concepts. Are you up for the challenge? 
 
About This Opportunity:
The Data Scientist Intern 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.
 
As part of Target’s digital transformation, you’ll be given the opportunity to influence new ideas that will transform retail and provide spike developments and prototypes. Our interns will be mentored by a technical expert in the office. 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 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
  • Work in Sunnyvale, CA or Minneapolis, MN
Requirements:
  • Working towards a PhD in math, advanced statistics, physics, bio statistics, bio science, operations research and/or computer science
  • 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
 

Primary Location: United States-Minnesota-Minneapolis
Apply on the Company Site
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