Data Scientist Python Australian Retailer Giant Years
About the role:
· Design and lead the development and deployment of solutions that leverage data sciences and 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 and 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 and 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 and 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) and preferably AWS platforms as well.