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, who can help us move even faster.

noon’s mission: Every door, every day.

What you'll do

- Applied AI, analytics automation and internal tools (must have)

• Lead analytics automation by connecting LLMs to governed data: certified metrics, curated tables and semantic layers. •Ensure AI-generated insights are accurate, explainable and secure, with transparent evaluation, transparency and data governance built in from the start.
- Build internal tools and self-serve products that help teams answer their own questions and reduce ad-hoc requests.
- Spot opportunities nobody has asked for yet, and turn the best into solutions teams actually adopt.

- Data science

• Build solutions that shape how customers discover, engage with, and buy on noon, from personalized recommendations to a smarter, more relevant app experience.
- Choose the simplest method that works, and measure models on business outcomes, not just offline accuracy.

- Product analytics and experimentation

• Partner with PMs on what to build and how to measure it: North Star and guardrail metrics, funnels, cohorts, opportunity sizing and A/B test design and readouts.
- Own experimentation standards, from randomization, power and pre-registered metrics to novelty effects and clear ship/kill decisions.
- Push back when the data doesn't support a decision, and propose what to do instead.





- Lead and grow the team

• Manage analysts and data scientists: hiring, goals, reviews, coaching and hard performance conversations when needed.
- Allocate capacity across squads and run a clear intake and prioritization process with Product.
- Raise the quality bar by reviewing analyses, test designs and models before they reach stakeholders.

- Communicate and influence

• Turn complex data into clear recommendations and actionable stories for leadership.
- Build trust with Product, Engineering and Business by being direct, timely and right.

What you bring

- 7–9 years in product analytics, data science or growth analytics, ideally in e-commerce, marketplaces or consumer tech at scale.
- 2+ years managing analysts or data scientists as direct reports, including hiring, reviews and handling underperformance. Mentoring alone doesn't count.
- Strong SQL and Python, plus a cloud warehouse (Big Query preferred) and a BI tool (Looker preferred).
- Deep experimentation skills, including knowing when results can't be trusted.
- Production experience applying LLMs to analytics or internal tools, and the safeguards you added when things went wrong.
- Product thinking and clear communication with senior stakeholders, even when the answer isn't what they wanted.

- Nice to have

• Text-to-SQL, RAG or agent workflows over a semantic layer or metric catalogue.
- Building internal data tools or self-serve analytics products.
- Recommendation systems, personalization or search ranking.
- Causal inference (difference-in-differences, synthetic control, uplift modelling).
- GCC or Arabic-language product experience.

📌 Senior Manager - Data Science (Gurugram)
🏢 noon
📍 Gurugram