Data Scientist II - Analysis, QC

talabat; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

talabat is looking for a skilled data professional to leverage ambiguous business problems into data-driven insights. The role requires expertise in SQL, Python, and a solid understanding of data analysis life cycles, along with relevant analytical tools. Candidates should have at least 3 years of experience in data science and machine learning, preferably in an online consumer product environment.

The ideal candidate will thrive in a collaborative setting, taking ownership and driving outcomes. A Bachelor's degree in engineering, computer science, or similar is required, and a postgraduate degree is a plus.

Qualifications

• 3+ years of overall experience working in data science and machine learning.
• Experience in online consumer product data science is a plus.
• A postgraduate degree is a plus but not required.

Responsibilities

• Leverage business problems to drive objective data-driven insights.
• Contribute to design and maintenance of data models.
• Work with product and business teams for data-driven decisions.
• Design and analyze experiments including A/B tests.

Skills

SQL

Python

Data modeling

Data analysis lifecycle

Statistical techniques

Education

Bachelor's degree in engineering, computer science, or similar fields

Tools

BigQuery

Google Cloud Platform

Airflow

Scikit-learn

Job description

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.

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

Throughout the interview process, we'll 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.