Sr. Data Scientist - Analysis

Delivery Hero Austria; Dubai; On-site; AED 130,000 - 200,000; Full time

Job summary

Delivery Hero Austria is seeking a Data Scientist to enhance decision-making processes with actionable data. The role entails managing data workflows, collaborating with product teams, conducting analysis, and mentoring peers. A successful candidate will have a technical background, extensive experience in data science, and a passion for problem-solving.

Qualifications

• 5+ years of experience in data science and machine learning.
• Strong problem-solving skills with a growth mindset.
• Experience in online consumer product settings is a plus.

Responsibilities

• Manage the entire data value chain, including logging and data modeling.
• Deliver actionable insights and recommendations through analysis.
• Mentor other data scientists in their growth.

Skills

SQL

Python

R

Data modeling

Statistical techniques

Problem-solving

Education

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

Postgraduate degree

Tools

BigQuery

Google Cloud Platform

Airflow

Scikit-learn

XGBoost

LightGBM

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 on the analysis track, your mission will be to improve the quality of decisions made across product and business through relevant, reliable, and actionable data. You will own a specific domain within product and business, working closely with product and business managers as part of a talented team of data scientists and data engineers. Your responsibilities include managing 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 in your focus area.
• Gaining familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.
• Contributing to the design and maintenance of data models to measure performance and understand performance drivers.
• Collaborating with product and business teams to identify key questions that can be answered with data.
• Delivering relevant, reliable, and actionable insights and recommendations to support data-driven decisions through analysis and automated reports.
• Designing, planning, and analyzing experiments (A / B and multivariate tests).
• Supporting KPI design and goal setting for product and business managers.
• Mentoring other data scientists in their growth.
• Contributing to improvements in workflows, tooling, and internal training programs.

What you need to be successful

Technical Experience

• Proficiency in SQL.
• Experience with reproducible data analysis using Python or R.
• Knowledge of data modeling and dimensional design.
• Understanding of the full data analysis lifecycle : problem formulation, data auditing, analysis, interpretation, and presentation.
• Experience with various analysis types : descriptive, exploratory, inferential, causal, and predictive.
• Familiarity with experiment design, analysis workflows, and statistical techniques.
• Understanding of product data (impressions, events, etc.) and product health metrics (conversion, engagement, retention, etc.).
• Experience with BigQuery and Google Cloud Platform is a plus.
• Data engineering and 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, or related fields; postgraduate degree is a plus.
• 5+ years of experience in data science and machine learning.
• Experience in online consumer product settings is a plus.
• Strong problem-solving skills with a growth mindset.
• Excellent collaboration and communication skills.
• Strong ownership and accountability.
• A simple, effective approach to problem-solving.

Who we are

talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform. Our mission is to deliver an exceptional experience—fast, easy, and at your door. Operating in over 70 countries worldwide, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX index.

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