Data Scientist II - Analysis (Analytics Engineering)

Delivery Hero; Dubai; On-site; AED 250,000 - 420,000; Full time

Job summary

Delivery Hero in Dubai seeks a data scientist on the analysis track to improve decision quality across product and business through reliable data. You will own the data value chain, from logging and modeling to analysis, reporting and experimentation, collaborating with product managers and data engineers.

You will help design KPIs, run analyses, and mentor other data scientists while contributing to scalable data tooling and training programs.

Qualifications

• Excellent SQL skills and ability to reproduce analyses.
• Experience with data modeling and dimensional design.
• Strong end-to-end analytics from problem framing to presentation.
• Familiar with descriptive, exploratory, inferential, causal and predictive analyses.
• Experience with experiment design and analysis workflows.
• Knowledge of product data metrics and health measurements.
• Nice to have BigQuery and Google Cloud Platform exposure.
• Data engineering/pipeline experience (Airflow) is a plus.
• Experience with classical ML frameworks is a plus.

Responsibilities

• Leverage ambiguous business problems to drive objective criteria using data.
• Develop understanding of product experiences and business processes.
• Profile data sources and systems with documentation and collaboration.
• Contribute to data models that measure performance and drivers.
• Identify questions to answer with data and collaborate with teams.
• Deliver actionable insights and automated reports for decisions.
• Design and analyze experiments (A/B, multivariate).
• Support KPI design and goal setting for product/business managers.
• Mentor other data scientists; improve tooling and training programs.

Skills

SQL

Python or R

Data modeling

Data analysis lifecycle

Descriptive analytics

Experiment design

Product data familiarity

BigQuery

Airflow

ML frameworks

Education

Bachelor's in Engineering/CS/Tech

Tools

BigQuery

Airflow

Scikit-learn

XGBoost

LightGBM

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.

Whats 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.

Qualifications :

What Did We Order

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

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 figure it out 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

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Experience: years

Vacancy: 1