As the leading delivery company in the region we have a great responsibility and opportunity to impact the lives of millions of customers restaurant partners and riders. To realize our potential we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a data scientist supporting the QC Hub your mission will be to improve the quality of the decisions made across product and business via relevant reliable and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging data modeling analysis reporting and experimentation.
WHATS 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.
Qualifications :
WHAT DID WE ORDER
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
Bachelors 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 Well Be Looking For
Throughout the interview process well assess not only your technical expertise and problem-solving abilities but also the behaviors that drive success at talabat:
Remote Work :
No
Employment Type :
Full-time
This listing is sourced from a third-party job board. Applying will redirect you to the original posting.
Careers International
YO AI Labs
Jobs for Humanity
Johnson Controls