Data Scientist II Analysis, QC

Delivery Hero; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

talabat is seeking a Data Scientist to join the QC Hub and improve decision quality across product and business through reliable data. You will own the data value chain from logging to experimentation and work with product and business managers to deliver insights and automated reports.

The role requires strong SQL, Python/R, and data modeling skills, familiarity with BigQuery/GCP, and 3 years of experience in data science. This is a full-time on-site position in UAE/Dubai.

Qualifications

• Bachelors degree in engineering, computer science, technology or similar fields.
• 3 years of overall experience in data science and ML.
• Experience in online consumer product setting is a plus.

Responsibilities

• Own the data value chain including logging, data modeling, analysis, reporting and experimentation.
• Develop data models and analytics to measure performance and drivers for your area.
• Deliver actionable insights and automated reports to support data-driven decisions.
• Design and analyze experiments (A/B and multivariate tests).
• Collaborate with product and business teams on KPI design and goal setting.

Skills

SQL

Python/R

Data modeling

Experiment design

A/B testing

BigQuery

Airflow

ML frameworks

Education

Bachelor's degree in engineering / CS / technology

Tools

BigQuery

Airflow

GCP

Job description

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:

• 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.

Remote Work :

No

Employment Type :

Full-time