Data Scientist II

4 weeks ago


Dubai, United Arab Emirates Talabat Full time


What’s OnYour Plate?

  • Leveraging ambiguous businessproblems as opportunities to drive objective criteria usingdata.
  • Developing a deep understanding of theproduct experiences and business processes that make up your areaof focus.
  • Developing a deep familiarity withthe source data and its generating systems through documentation,interacting with the engineering teams, and systematic dataprofiling.
  • Contributing heavily to the designand maintenance of the data models that allow us to measureperformance and comprehend performance drivers for your area offocus.
  • Working closely with product andbusiness teams to identify important questions that can be answeredeffectively with data.
  • Delivering well-formed,relevant, reliable, and actionable insights and recommendations tosupport data-driven decision making through deep analysis andautomated reports.
  • Designing, planning andanalyzing experiments (A/B and multivariatetests).
  • Supporting product and businessmanagers with KPI design and goalsetting.
  • Mentoring other data scientists intheir growth journeys.
  • Contributing toimproving our ways of work, our tooling, and our internal trainingprograms.

What you need to besuccessful

WhatDid WeOrder?

TechnicalExperience

  • ExcellentSQL.
  • Competence with reproducible data analysisusing Python or R.
  • Familiarity with datamodeling and dimensional design.
  • Strong commandover the entire data analysis lifecycle including; problemformulation, data auditing, rigorous analysis, interpretation,recommendations, and presentation.
  • Familiaritywith different types of analysis including; descriptive,exploratory, inferential, causal, and predictiveanalysis.
  • Deep understanding of the variousexperiment design and analysis workflows and the correspondingstatistical techniques.
  • Familiarity withproduct data (impressions, events, ..) and product healthmeasurement (conversion, engagement, retention,..).
  • Familiarity with BigQuery and the GoogleCloud Platform is a plus.
  • Data engineering anddata pipeline development experience (e.g. via Airflow) is aplus.
  • Experience with classical ML frameworks(e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.

Qualifications

  • Bachelor's degree inengineering, computer science, technology, or similar fields. Apostgraduate degree is a plus but notrequired.
  • 5+ years of overall experienceworking in data science and machinelearning.
  • Experience doing data science in anonline consumer product setting is a plus.
  • Agood problem solver with a ‘figure it out’growth mindset.
  • An excellentcollaborator.
  • An excellentcommunicator.
  • A strong sense of ownership andaccountability.
  • A ‘keep itsimple’ approach to#makeithappen.

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