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Data Scientist II - Analysis, QC

talabat
Dubai, UAE
Full Time
Mid
2 weeks ago
SQLPythonRExperiment designData modelingProduct analytics
Free

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About talabat QC Hub

  • Since launching in Kuwait in 2004, talabat has become the region’s leading on demand delivery app, serving millions of customers across eight countries.
  • Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience — getting everyday essentials to customers’ doors in minutes, not hours.
  • Behind every delivery is data. Our QC data team works at a scale most data scientists only read about.

Why This Role

  • As a Data Scientist on the QC Hub team, you’ll be the analytical brain behind one of talabat’s fastest growing verticals.
  • You’ll partner directly with product and business leaders to shape strategy, design experiments that affect millions of users, and build the data foundations that power smarter decisions.

What Success Looks Like

  • First 90 days: Ramped up on domain, built relationships, understood data landscape, delivered first actionable analysis.
  • By 6 months: Go to analytical partner for domain, independently designing and running experiments.
  • By 12 months: Work has measurably improved decision quality, built data models, mentoring newer team members.

What You’ll Actually Do

  • 40% on deep analysis and experimentation — designing A/B tests, running multivariate experiments, deep dives into performance drivers.
  • 30% on data modelling and quality — building and maintaining data models, profiling source data, ensuring data reliability.
  • 30% working with stakeholders — partnering with product and business managers to frame questions, set KPIs, present insights.

Day to day

  • Turn ambiguous business questions into structured analytical problems.
  • Build and maintain dimensional data models in BigQuery.
  • Design, execute, and interpret experiments (A/B and multivariate).
  • Create automated dashboards and reports that stakeholders actually use.
  • Challenge assumptions with data — including your own.
  • Collaborate with data engineers on logging and data pipeline quality.

You’ll Thrive Here If You…

  • Love being embedded with business teams, not siloed in a data team.
  • Get satisfaction from changing how decisions are made, not just producing reports.
  • Are comfortable with ambiguity.
  • Care deeply about data quality.
  • Communicate clearly with non technical stakeholders.

This Might Not Be For You If You…

  • Want to build ML models full time (this role is analytics and experimentation focused).
  • Prefer working independently without regular stakeholder interaction.
  • Need clearly defined problems handed to you.
  • Are more interested in tools and techniques than business impact.

Qualifications

  • Degree in a quantitative field (statistics, mathematics, economics, computer science, engineering, or similar) — or equivalent practical experience.
  • Must Haves: Strong SQL, reproducible analysis in Python or R, experiment design expertise, full analysis lifecycle experience, data modelling knowledge, product analytics intuition, 3+ years in data science or analytics.
  • Nice to Haves: Experience with BigQuery and GCP, data engineering skills (Airflow, dbt), ML frameworks (Scikit learn, XGBoost, LightGBM), familiarity with modern data tools and AI assisted analysis, experience in online consumer product or marketplace.

What We Offer

  • Impact at scale — your work directly affects how millions of people get their daily essentials.
  • An analytics first culture — a data team that’s genuinely invested in analytical excellence.
  • Modern tooling — BigQuery, GCP ecosystem, and freedom to experiment with new approaches including AI assisted workflows.
  • Career growth — past data scientists have grown into senior IC roles and analytics leads.
  • Great Place to Work — talabat is a certified Great Place to Work across multiple countries in the region.

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