GMG Jobs in Dubai - Data Scientist

GMG Jobs in Dubai - Data Scientist

Description

Gulf Marketing Group is one of the Middle East’s leading, family owned companies. Operating across the GCC, Gulf Marketing Group is a dynamic group boasting a diverse portfolio of retail outlets, brands and consumer and B2B services across key sectors such as healthcare and pharmaceuticals, sports and fitness, real estate, education and technology.

About the Role

The candidate will co-own the conversion & retention metrics. He/she will use the app/web data to plan the conversion are retention improvement strategies. The candidate will have to work closely with the business teams for improving the business & product metrics with the help of data backed insights.

Core Responsibilities:

  • Analyze customer behavior using browse & sales data
  • Build models to create customer cohorts, predict the churn
  • Work closely with retention & conversion managers to improve retention & conversion on app/web
  • Work with the data engineering team to ensure the availability of desired data in the databases
  • Provide product feature improvement insights
  • Run A/B testing experiments on the app along with the conversion manager
  • Help category teams in optimizing the pricing & assortment by providing data backed insights
  • Lead & mentor a team on analysts

Qualifications:

  • Bachelor’s degree in Engineering or
  • Master’s degree in Economics /Statistics or Management

Experience:

  • 4-6 years of experience working in data science/ consumer analytics role in an online retail firm or
  • 4-6 years of experience in a consulting firm with exposure to consumer analytics projects in retail industry
  • Demonstrated experience in driving improvements in conversion & retention metrics
  • Well versed with modelling techniques (GBM, Time-series analysis, Regression etc.)

Technical Skills:

Proficient in SQL, Python / R

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Additional skills:

  • Fluent in spoken and written English is essential
  • Ability to thrive in a fast-paced environment
  • Strong customer empathy
  • High attention to detail
  • Ability to tell stories with data, educate effectively

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