Data Scientist II - Analysis (Analytics Engineering)

Delivery Hero; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading delivery company in the region is looking for a Data Scientist to enhance data-driven decision-making. This role involves managing the entire data value chain, collaborating with business and product teams for insightful analysis, and mentoring other data scientists. Candidates should have a Bachelor's degree in a relevant field and 3 years of experience in data science and machine learning.

Qualifications

• 3 years of overall experience in data science and machine learning.
• Experience in an online consumer product setting is a plus.
• Strong problem-solving skills with a growth mindset.

Responsibilities

• Leverage ambiguous business problems to drive objective criteria using data.
• Work closely with product and business teams to identify important questions.
• Deliver actionable insights and recommendations through deep analysis.

Skills

SQL

Data analysis using Python

Data modeling

Machine learning frameworks

Collaboration

Communication

Education

Bachelor's degree in engineering or computer science

Postgraduate degree (plus but not required)

Tools

BigQuery

Google Cloud Platform

Job description

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.

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

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, etc.) and product health measurement (conversion, engagement, retention, etc.).
• Familiarity with BigQuery and 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.
• A good problem solver with a growth mindset.
• An excellent collaborator.
• An excellent communicator.
• A strong sense of ownership and accountability.
• A keep it simple approach to #makeithappen.

Remote Work: No

Employment Type: Full-time