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Data Science Manager

Talabat Dubai, United Arab Emirates Posted: 21 May 2024

Financial

  • Salary unspecified
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Relocation Support
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Requirements

  • Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
  • Developing a deep understanding of the product experiences and business processes that make up your area of focus.
  • Building deep partnerships with product and business counterparts.
  • Setting the team's roadmap, success criteria, and priorities in close collaboration with engineering and business partners.
  • Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
  • Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
  • Working closely with product and business teams to identify important questions that can be answered effectively with data.
  • Maintain a balance between building sustainable practices and going after high-impact projects on one hand and identifying low-cost, high-impact wins and intelligent scoping to deliver value sooner on the other.
  • Coach and mentor our data scientists and data analysts technically and professionally.
  • Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
  • Designing, planning, and analyzing experiments (A/B and multivariate tests).
  • Supporting product and business managers with KPI design and goal setting.
  • Mentoring other data scientists in their growth journeys.
  • Contributing to improving our ways of work, our tooling, and our internal training programs.

Technical Experience

  • Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
  • Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
  • Competence with reproducible data analysis using Python or R and excellent SQL skills.
  • Comfortable with data modeling and dimensional design.
  • Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
  • Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
  • Familiarity with BigQuery and the Google Cloud Platform is a plus.
  • Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
  • Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.

What you need to be successful

  • Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
  • 5+ years of overall experience working in data science.
  • 2+ years of overall experience in leading data teams.
  • Experience doing data science in an online consumer product setting is a plus.
  • A good problem solver with a ‘figure it out’ growth mindset.
  • An excellent collaborator and communicator.
  • A strong sense of ownership and accountability.
  • A ‘keep it simple’ approach to makeithappen.
Apply now

About Talabat

Talabat is the leading online food ordering company in the Middle East, founded in Kuwait in 2004. As a subsidiary of Delivery Hero, we operate in multiple countries and strive to provide a seamless food delivery experience. Join our team of over 16,000 employees and be a part of our mission to revolutionize the food delivery industry.

Benefits at Talabat

    • Opportunities for professional development and career advancement.
    • Dynamic and collaborative work environment with a diverse and inclusive culture.
    • Competitive salary, benefits package, and health and wellness programs.