Sr. Data Scientist, Algorithms, ML

Delivery Hero; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Delivery Hero is seeking a data scientist in Dubai to advance our algorithms and platform through data-driven decisions. You will own the data value chain from logging to modeling and experimentation, with a focus on Generative AI to enhance user experiences and operational efficiency.

You will mentor other data scientists, collaborate with product managers and engineers, and help design KPI frameworks and experiments to drive measurable business impact.

Qualifications

• Experience in machine learning, generative AI, deep learning, and recommender systems.
• Strong SQL and reproducible data analysis with Python or R.
• Familiarity with data modeling, BigQuery, and Google Cloud.
• Ability to design and interpret experiments (A/B, multivariate).

Responsibilities

• Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
• Solving complex business problems using simple algorithms to deliver business value.
• Designing and implementing ML and generative AI systems in production.
• Developing understanding of product experiences and business processes.
• Profiling source data and collaborating with engineers.
• Maintaining data models to measure performance and drivers.
• Working with product teams to answer key questions with data.
• Delivering insights and automated reports for decision making.
• Designing experiments and KPIs with stakeholders.
• Mentoring other data scientists.
• Improving tooling and training programs.

Skills

Machine learning

Generative AI

Deep learning

SQL

Python

R

BigQuery

GCP

Airflow

Experiment design

Education

Bachelor's degree in engineering, computer science or similar

4 years of experience in data science / Gen AI

Tools

Scikit-learn

XGBoost

LightGBM

CatBoost

TensorFlow

PyTorch

Hugging Face Transformers

LLM fine-tuning

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 algorithms 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. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment smart content understanding and automated decision-making to enhance user experiences and business operations.

Responsibilities

• Leveraging ambiguous business problems as opportunities to drive objective criteria using data.

• Solving complex business problems using the simplest most appropriate algorithms to deliver business value.

• Designing and implementing effective and impactful machine learning and generative AI systems in production.

• 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 working our tooling and our internal training programs.

Qualifications :

Requirements

Technical Experience

• Experience in machine learning generative AI deep learning recommendation systems pattern recognition data mining and artificial intelligence.

• Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn XGBoost LightGBM CatBoost SVMs Keras TensorFlow PyTorch Hugging Face Transformers LLM fine-tuning).

• Excellent SQL.

• Competence with reproducible data analysis using Python or R.

• Familiarity with data modeling and dimensional design.

• Strong command over the entire data 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 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.).

• Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.

• 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.

Qualifications

• Bachelors degree in engineering computer science technology or similar fields. A postgraduate degree is a plus but not required.

• 4 years of experience working in data science machine learning and Gen AI.

• 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