Data Scientist II - Analysis, QC
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Key skills for this role
About the Role
Delivery Hero (talabat) seeks a Data Scientist II to improve decision quality across product and business via data. You will own the data value chain including logging, modeling, analysis, reporting, and experimentation.
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 in area of focus
- Develop deep familiarity with source data and its generating systems through documentation, interaction with engineering teams, and systematic data profiling
- Contribute to design and maintenance of data models to measure performance and comprehend performance drivers
- Work closely with product and business teams to identify important questions that can be answered effectively with data
- Deliver well formed, relevant, reliable, and actionable insights and recommendations through deep analysis and automated reports
- Design, plan, and analyze experiments (A/B and multivariate tests)
- Support product and business managers with KPI design and goal setting
Requirements
- Bachelor's degree in engineering, computer science, technology, or similar fields
- 3+ years of overall experience working in data science and machine learning
- Excellent SQL
- Competence with reproducible data analysis using Python or R
- Familiarity with data modeling and dimensional design
- Strong command over the entire data analysis lifecycle
- Deep understanding of experiment design and analysis workflows and corresponding statistical techniques
- Familiarity with product data (impressions, events) and product health measurement (conversion, engagement, retention)
Full Job Posting
Company Description
- Since launching in Kuwait in 2004, talabat is the leading on demand food and Q commerce app for everyday deliveries, operating in eight countries across the region.
- We harness innovative technology and knowledge to simplify everyday life for customers, optimize operations for restaurants and local shops, and provide riders with reliable earning opportunities.
Job Description
- As a data scientist supporting the QC Hub, your mission is to improve the quality of decisions made across product and business via relevant, reliable, and actionable data.
- You will own a particular domain across product and business and work closely with product and business managers as part of a team of data scientists and data engineers.
- You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.
WHAT’S ON YOUR PLATE?
- 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.
Technical Experience
- Excellent SQL.
- Competence with reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design.
- 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.
- 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.
Qualifications
- Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
- 3+ years of overall experience working in data science and machine learning.
- Experience doing data science in an online consumer product setting is a plus.
What We'll Be Looking For
- Own It: Taking accountability, demonstrating initiative, and driving outcomes end to end.
- Deliver Value Fast: Balancing speed and quality to create meaningful business impact.
- Dive Deep: Approaching problems with curiosity, analytical rigor, and a strong attention to detail.
- Bring Good Vibes: Building strong relationships, collaborating effectively, and contributing positively to team culture.
- Raise the Bar: Striving for excellence, challenging assumptions, and continuously improving the quality of your work.
- Stay Humble: Remaining open to feedback, learning from others, and embracing a growth mindset.
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