Data Scientist Python | Fortune 500 Australian Retailer | 3 7 years

  • 3-7 years
  • Not Disclosed

Job Description

About the role:

· Design & lead the development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business
· Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis
· Mine multiple data sets including large data sets through clustering & capture thematic trends
· Build relevant new capabilities in advanced analytics

Preferred Formal Education Qualifications:
· M.S. or PH.D. in Computer Science, applied mathematics, statistics, physics, operations research, quantitative social sciences or related fields
Mandatory Formal Education Qualifications e.g. CPA
· B.S. in Computer Science, Applied Business Statistics or Mathematics

Work Experience:

· 2 – 7+ years of relevant experience in digital & marketing advanced analytics role in Retail CPG domain. Shrinkage knowledge speciality will be a bonus.
· Should have worked on projects initiatives on web e commerce analytics, social media analytics
· Proven application of advanced analytical and statistical methods. Prior experience in machine learning will be preferred.
· Prior experience in big data analytics
· Track record in managing deliveries of advanced analytical solutions in an agile & iterative model

Skills Knowledge Abilities Technology Used:

· Strong programming skills in R, Python, SQL, HIVE
· Excellent presentation and communication skills with the ability to explain complex analytical concepts to people from other functions
· Ability to employ predictive modelling techniques to solve complex business problems
· Experience in working with large relational databases (MS SQL Teradata Oracle) & preferably AWS platforms as well


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