COMPANY A Dubai Unicorn startup.
With 30% monthly growth, they now operate a global taxi technology in 80+ cities across 12+ countries and host over 6million users. With our recent Series D funding success, they are positioned on the cusp of significant scale and well on target to deliver their goal of creating one million jobs in the region by 2018.
DATA SCIENTIST A- DUBAI or BERLIN
You will work closely with product and engineering teams to define and tackle open-ended problems. In the process, you will:
Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.
Help define and track the appropriate key metrics for specific projects.
Design and run randomized controlled experiments, analyze 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 challenges the data science team works on are: Dynamic pricing optimization. Optimal dispatching. Fraud detection and prevention. ETA prediction. Location search optimization.
End-of-year Master level engineer in the most prestigious engineering schools
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
2+ 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