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Location
In office (Gurgaon)
Seniority
Senior · 1+ year exp

First seen by Alion on Nov 11, 2026.

Overview
Company
Impact
Profile match
noon is an e-commerce company headquartered in Dubai, United Arab Emirates, and founded in 2017 by Mohamed Alabbar together with Saudi Arabia's Public Investment Fund. The company runs a regional online marketplace along with noon Minutes for quick commerce, noon Food for delivery, and the noon Pay payments service. It operates in the United Arab Emirates, Saudi Arabia, and Egypt, and is one of the main regional competitors to Amazon in the Middle East.

The role involves working with large-scale e-commerce data, developing predictive models, and generating actionable insights to support business decisions.


The ideal candidate should have a strong foundation in Python, SQL, statistics and machine learning, along with an interest in building AI-driven solutions and setting up automated AI workflows to solve business problems.


Key Responsibilities:

  • Analyze large datasets using SQL (BigQuery) and Python to identify trends, patterns and actionable business insights.
  • Develop and maintain machine learning models for forecasting, classification, recommendations and anomaly detection.
  • Design and execute A/B tests and experiments to measure business impact.
  • Build and automate data pipelines, ETL workflows and model deployment processes.
  • Explore and implement AI-driven solutions, including setting up and optimizing AI workflows to automate processes and improve business efficiency.
  • Work closely with Product, Engineering and Commercial teams to identify opportunities where data science and AI can drive business value.
  • Document methodologies, assumptions and findings to ensure reproducibility and knowledge-sharing.


Requirements:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related quantitative field.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL, including complex queries and query optimization.
  • Good understanding of data structures and algorithms, including arrays, linked lists, stacks, queues, hash maps, trees, sorting and searching algorithms, and time/space complexity.
  • Solid understanding of statistics, including hypothesis testing, regression, probability distributions and experimental design.
  • Familiarity with machine learning algorithms such as linear/logistic regression, decision trees, random forests, gradient boosting and clustering.
  • Understanding of cloud-based data environments such as Google BigQuery, AWS or similar platforms.
  • Exposure to AI tools, automation and experience setting up AI-powered workflows or integrating AI solutions into business processes.
  • Ability to communicate technical concepts and findings clearly to non-technical stakeholders.
  • Strong problem-solving skills, attention to detail and intellectual curiosity.


Who will excel?:

We are looking for people with high standards, who understand that hard work matters.


You need to be relentlessly resourceful and operate with a deep bias for action.


We need people with the courage to be fiercely original.


Noon is not for everyone; readiness to adapt, pivot, and learn is essential.

Skills

ML, Machine Learning, Python, SQL, Scikit-learn

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