Data Scientist II - Analysis, QC
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Key skills for this role
About the Role
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 won t just crunch numbers you ll part.
Key Skills for This Role
Responsibilities
- Design and execute A/B tests and multivariate experiments
- Build and maintain dimensional data models in BigQuery
- Perform deep analysis and deep dives into performance drivers
- Partner with product and business managers to frame questions and set KPIs
- Create automated dashboards and reports for stakeholders
- Turn ambiguous business questions into structured analytical problems
Requirements
- Experience in data science, analysis, and experimentation
- Proficiency in data modeling and building dimensional data models
- Experience with A/B and multivariate testing
- Ability to turn ambiguous business questions into structured analytical problems
- Strong communication and stakeholder management skills
Full Job Posting
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: Ramp up on domain, build relationships, understand data landscape, deliver first actionable analysis.
- By 6 months: Become go to analytical partner, independently design and run experiments, stakeholders act on recommendations.
- By 12 months: Work measurably improves decision quality, build/refine data models, mentor 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.
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