Lead Data Scientist

Job description

Lead Data Scientist; Domain – Supply Chain Forecasting

About the role:

The role is with Target Data Science and Analytics team supporting Supply Chain Forecasting. As a part of the team, we actively build scalable data science products in service of Demand Forecasting Engine. As a Lead Data Scientist, you will be focussed on architecting and building well interfaced and scalable modules/services that would be leveraged within the Forecasting engine for accurate predictions. In this role you will be expected to be involved in:

  • Consulting with clients to scope data science problems
  • Framing business problems in precise mathematical terms with testable hypotheses
  • Writing white papers conveying modeling approach/framework
  • Drive adoption of module/service/product amongst clients and internal product team
  • Partner with cross functional and cross geographical teams to build holistic solutions
  • Deploying algorithms and solutions on big data environment

Expected skills:

  • Data wrangling and pipelining skills using HiveQL and R/Python
  • Ability to write modular code and data pipelines which can be automated and scaled
  • Great communication skills and experience in working with clients
  • Good programming skills in R/ Python/ Scala/ Java
  • Knowledge in statistics/operations management/mathematics
  • Ability to lead a team(s) and drive the work in a collaborative environment
  • Ability to mentor team members in a project team

Preferred Educational background:

  • Computer Science graduates from reputed engineering institutes with 5+ years of experience
  • MTech or MS (Statistics, Economics) with relevant data experience of 4+ years
  • PhD with relevant experience of 3+ years

Preferred domain experience: in enabling data driven solutions in logistics, supply chain network optimization, labor management, forecasting, inventory management, network planning will be preferred. In addition, experience of working in agile teams/scrums will be preferred

Why work with us at Target?

  • We love open source
  • We own years of data from many domains like inventory, sales, guest, finance and operations.
  • We embody team member growth and wellness
  • Formal big box and online retailing industry is growing fast and poised to grow further


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