Sr. Data Scientist - Analysis

Delivery Hero Austria; Dubai; On-site; EUR 60,000 - 100,000; Full time

Job summary

An established industry player seeks a talented data scientist to enhance decision-making through data-driven insights. In this role, you will leverage your expertise in SQL and Python to analyze complex datasets and develop predictive models. Collaborating closely with product and business teams, you will mentor fellow data scientists while driving improvements in data processes and tools. This position offers a unique opportunity to impact millions of users while working in a dynamic and innovative environment. If you are passionate about data science and eager to make a difference, this is the perfect role for you.

Qualifications

• 5+ years of experience in data science and machine learning.
• Strong problem-solving skills with a growth mindset.
• Excellent collaboration and communication skills.

Responsibilities

• Drive objective criteria using data to solve ambiguous business problems.
• Design and maintain data models for performance measurement.
• Deliver actionable insights to support data-driven decision making.

Skills

SQL

Python

R

Data Analysis

Experiment Design

Machine Learning

Education

Bachelor's degree in engineering or computer science

Postgraduate degree

Tools

BigQuery

Google Cloud Platform

Airflow

Scikit-learn

XGBoost

LightGBM

Job description

About the opportunity

Role Summary

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 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.

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.
• Mentoring other data scientists in their growth journeys.
• Contributing to improving our ways of work, our tooling, and our internal training programs.

What you need to be successful

Technical Experience

• Excellent SQL skills.
• 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 experiment design and analysis workflows and the associated statistical techniques.
• Experience with product data (impressions, events, etc.) and product health metrics (conversion, engagement, retention, etc.).
• Familiarity 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. A postgraduate degree is a plus but not required.
• 5+ years of experience in data science and machine learning.
• Experience in online consumer product data science is a plus.
• Strong problem-solving skills with a growth mindset.
• Excellent collaboration and communication skills.
• Strong ownership and accountability.
• Approach problems with simplicity and clarity.

Who we are

talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform. Our mission is to deliver an amazing experience—fast, easy, and to your door. We operate 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 stock market index.