Data Scientist II - Analysis (Analytics Engineering)

talabat; Dubai; On-site; AED 150,000 - 210,000; Full time

Job summary

A leading delivery company in Dubai is seeking a Data Scientist II to enhance decision-making through actionable data analysis. The ideal candidate will leverage their technical expertise in Python or R to contribute to product development and business strategies. This role requires ownership of the data lifecycle and close collaboration with product managers to drive insights and improvements.

Qualifications

• 3+ years of experience in data science and machine learning.
• Experience in online consumer product setting is a plus.
• Strong problem-solving and ownership mindset.

Responsibilities

• Own the data value chain including logging, data modeling, analysis, reporting.
• Deliver actionable insights to support data-driven decision making.
• Mentor other data scientists in their growth journeys.

Skills

Data analysis

Python

R

Machine Learning

Statistical techniques

Education

Bachelor's degree in engineering or computer science

Tools

BigQuery

Google Cloud Platform

Airflow

Scikit-learn

XGBoost

LightGBM

Job description

Data Scientist II - Analysis (Analytics Engineering)

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.

Desired Candidate Profile

Qualifications

What Did We Order?
Technical Experience

• 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.
• A good problem solver with a figure it out growth mindset.
• A strong sense of ownership and accountability.
• A keep it simple approach to #makeithappen.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at [e-mail]