Data Scientist II - Analysis, QC
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Key skills for this role
About the Role
talabat seeks a Data Scientist II to drive data-driven decision making by analyzing product experiences and business processes. The role involves deep data analysis, experiment design, KPI design, and delivering actionable insights to support product and business teams.
Key Skills for This Role
Responsibilities
- Leverage ambiguous business problems as opportunities to drive objective criteria using data.
- Develop deep understanding of product experiences and business processes.
- Develop familiarity with source data and its generating systems through documentation and data profiling.
- Contribute to design and maintenance of data models to measure performance.
- Work with product and business teams to identify important questions answerable with data.
- Deliver well formed, relevant, reliable, and actionable insights and recommendations.
- Design, plan, and analyze experiments (A/B and multivariate tests).
- Support product and business managers with KPI design and goal setting.
Requirements
- 3 8 years of experience in data science or related field
- Ability to leverage ambiguous business problems as opportunities using data
- Deep understanding of product experiences and business processes
- Experience with experiment design and analysis (A/B and multivariate tests)
- Proficiency in data modeling and delivering actionable insights
Full Job Posting
Responsibilities
- 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.
- 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.
- 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.
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