Senior Data Scientist

Job Details

Doha, Doha, Qatar
Snoonu
Posted 1 day ago
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Full Job Description

A little bit about us!

At Snoonu, we hold the belief that technology has the power to make anything possible.

Our Vision: to be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.

Our Mission: To radically transform how people live by leveraging technology to connect them with endless possibilities.

Values we live by:  

  • Be Customer Obsessed - “Focus on the customer and all else will follow.”
  • Act with Integrity - “We are honest, ethical, and trustworthy in everything we do.”
  • Be Curious and Creative - “We constantly innovate and create solutions to bring a lasting positive impact.”
  • Lead by Example and Take Ownership - “Be the change you want to see and take ownership.”
  • Hustle and Deliver Results - “You can do more by doing less, better, and faster.”
  • It's all about people - “Be a Team player, together we are stronger.”

Some of what you will be doing:

  • Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
  • Selecting and employing advanced statistical procedures to obtain actionable insights.
  • Producing and disseminating non-technical reports that detail the successes and limitations of each project.
  • Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
  • Suggesting ways in which insights obtained might be used to inform business strategies.
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

Some of what is required:

  • Advanced degree in data science, statistics, computer science, or similar.
  • +3 years experience as a data scientist.
  • Proficiency in Python and In-depth understanding of SQL.
  • Competent in machine learning principles and techniques.
  • Demonstrable experience with data-centered projects.
  • Ability to relay insights in simple terms, such that these can be used to inform business decisions.
  • Outstanding supervision and mentorship abilities.
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