- 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.
- 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.
- 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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Data Scientist II - Dubai, United Arab Emirates - Talabat
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