Data Scientist

Job title: Data scientist

Location: Gurugram

About noon

We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a senior executive growth who can help us move even faster.

noon’s mission: Every door, every day.

Role Overview

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’re 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.