Data Scientist

Target
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Job Description

Target Data Sciences is offering an exciting opportunity to solve state of the art problems in retail. The opportunity will allow you to analyse large and varied data sets, build models on transactional behaviour and write algorithms to improve guest (customer) experience. In this role, you will have access to the best tech stack in retail along with working with a set of passionate co-workers committed to creating next gen Marketing capabilities. You can expect to be involved in:

  • Learning and working on different aspects of personalisation of guest offers
  • Learning about the complex world of digital ad – tech and supporting Target’s advertising business by bringing state of art ad relevancy to life
  • Creating large and automated data pipelines and documenting methods and outputs
  • Exploring different approaches to solve a problem, testing the solutions, and reporting the results
  • Implementing large scale and automated models and create dashboard to capture relevant metrics and determine errors

Example problem statements:

  • Given a category (toys, baby, apparels, etc.) campaign, what is optimal offer variations and who should get the offers?
  • Given digital ad variations how do we optimize ad impressions?
  • How do we set prices for digital product ad slots to achieve higher revenue?
  • How to systematically scale and automate such decisions impacting millions of guests?

Expected skills:

  • Data wrangling and pipelining skills using HiveQL, Python, Spark
  • Ability to write modular code and data pipelines which can be automated and scaled
  • Good programming skills in Python/ Scala/ Java
  • Ability to work with a team(s) to drive the work in a collaborative environment

Preferred Educational background:

  • Engineering graduates from reputed institutes with proficiency in coding
  • MTech or MS (Statistics, Economics, CS, Mathematics)
  • Preferred domain experience: in enabling data driven solutions in marketing, marketing campaign management, digital media, measuring RoI on customer marketing campaigns, customer personalisation, behavioural models.

Why work with us at Target?

  • We love open source
  • We own years of transactional, guest, financial, inventory, many other operational datasets
  • We offer top class growth and wellness structures
  • We believe in continuous learning (50 days of learning with a variety of proprietary platforms!)
  • Formal big box and online retailing industry is growing fast and poised to grow further

Company Info.

Target

Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index. Target established itself as the discount division of the Dayton's Company of Minneapolis, Minnesota, in 1962; it began expanding the store nationwide in the 1980s (as part of the Dayton-Hudson Corporation), and introduced new store formats under the Target brand in the 1990s. The company has found suc

  • Industry
    Retail
  • No. of Employees
    368,000
  • Location
    Target Plaza 1000 Nicollet Mall Minneapolis, Minnesota, USA
  • Website
  • Jobs Posted

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