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Senior Data Scientist – Dubai

barcodetag – Posted on June 27, 2017 at 2:23 am –

The company is one of the most successful e-commerce business in Dubai with more than 1BN USD asset. We are currently expanding and with our new wave of investments, we are building 3 teams of BI, Data Scientists and Data Engineers. 

Job Description: 
You will work closely with our engineering and product development teams to explore open-ended tasks and problems. 

  • In here, you will embark
    on data analysis projects to achieve better understanding of the current data as well as to discover  areas of growth and
  • Help
    define and track the appropriate key metrics for specific projects.
  • Design
    and run randomised controlled experiments, analyse the resulting data and
    communicate results with other teams,
  • Collaborate
    with engineers to build prototype predictive models into production and
    re-iterate as needed.
  • Some of the
    problems the data science team works on are: Dynamic pricing optimization.
    Optimal dispatching. Fraud detection and prevention. ETA prediction. Location
    search optimization.


The ideal candidate
is innovative, detail-oriented, result-focused, has a solid quantitative
background, business savvy, and takes full ownership of their work from the inception
of the idea to the implementation of the final product. In particular, the
requirements are

  • 4+ years experience in data mining, predictive modeling, time series
    analysis, machine learning, Big Data methodologies, transformation and
    cleaning of both structured and unstructured data.
  • Fluency
    in English along with excellent oral and written communication skills.
  • Proficiency
    and experience  in at least 2 of the following: SQL, R, Python,
    Spark, Hive, RapidMiner.
  • Demonstrated
    experience with database technologies (e.g. Hadoop, Amazon EMR, Hive,
    Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.
  • Demonstrate
    experience with business intelligence and visualization tools (Tableau,
    MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills
    is also a plus.
  • Advanced
    degree in a quantitative discipline such as Physics, Statistics,
    Mathematics, Engineering or Computer Science.
  • Knowledge
    of Agile methodologies


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