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Data Scientist II

2 months ago

Dubai, Dubai, United Arab Emirates Talabat Full time
About the Role

We are seeking a highly skilled Data Scientist II to join our team at Talabat. As a Data Scientist II, you will play a key role in driving business growth and decision-making through data-driven insights.

Key Responsibilities
  • Leverage Business Opportunities: Identify and capitalize on ambiguous business challenges to drive objective criteria using data.
  • Product Expertise: Develop a deep understanding of product experiences and business processes that impact your area of focus.
  • Data Profiling: Develop a deep familiarity with source data and its generating systems through documentation, interaction with engineering teams, and systematic data profiling.
  • Data Modeling: Contribute heavily to the design and maintenance of data models that enable performance measurement and comprehension of performance drivers for your area of focus.
  • Collaboration: Work closely with product and business teams to identify important questions that can be effectively answered with data.
  • Insight Delivery: Deliver well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
  • Experimentation: Design, plan, and analyze experiments (A/B and multivariate tests) to inform business decisions.
  • KPI Design: Support product and business managers with KPI design and goal-setting.
  • Mentorship: Mentor other data scientists in their growth journeys.
  • Process Improvement: Contribute to improving our ways of work, tooling, and internal training programs.
Requirements
  • Technical Expertise: Excellent SQL skills, competence with reproducible data analysis using Python or R, familiarity with data modeling and dimensional design, and a strong command over the entire data analysis lifecycle.
  • Analysis Experience: Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
  • Experiment Design: Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
  • Product Data: Familiarity with product data (impressions, events,...) and product health measurement (conversion, engagement, retention,...).
  • Technical Skills: Familiarity with BigQuery and the Google Cloud Platform is a plus, as is experience with data engineering and data pipeline development (e.g., via Airflow) and classical ML frameworks (e.g., Scikit-learn, XGBoost, LightGBM,...).
Qualifications
  • Education: Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
  • Experience: 5+ years of overall experience working in data science and machine learning.
  • Industry Experience: Experience doing data science in an online consumer product setting is a plus.
  • Soft Skills: Good problem-solving skills, a 'figure it out' growth mindset, excellent collaboration and communication skills, a strong sense of ownership and accountability, and a 'keep it simple' approach to problem-solving.