Senior Data Scientist

Company Description

Nul is an AI fashion tech startup on a mission to help brands reduce overproduction and optimize sell-through using cutting-edge machine learning, neural networks, and AI agents. Backed by Wavemaker Impact, we're building the most efficient inventory intelligence engine in fashion — already delivering 3–5% revenue uplift through live pilots.

What you'll do-

As a core member of our founding technical team, you will:

• Build and scale ML models for demand forecasting, inventory optimization, and inter-store transfer automation
• Design proprietary neural network architectures and fine-tune LLMs for dynamic merchandising decisions
• Own end-to-end ML pipelines — from data ingestion to model deployment and monitoring
• Work closely with our product and engineering teams to transform research into user-facing features
• Analyze real-world retail and fashion data to uncover patterns that drive better business decisions
• Contribute to scalable experimentation frameworks for rapid testing and iteration

What we're looking for-

• 4–6+ years of experience in data science, machine learning, or applied research
• Strong proficiency in Python, Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow
• Experience with time-series forecasting, reinforcement learning, or inventory/retail analytics
• Familiarity with LLMs, transformers, or neural nets for structured data
• Proven ability to ship models into production and monitor performance over time
• Comfortable working in a fast-paced startup environment with lots of ownership
• Bonus: Experience in fashion, retail, or supply chain domains

Why join Nūl-

• Build high-impact technology tackling one of fashion’s biggest challenges — overproduction
• Work with a world-class founding team and passionate early adopters
• Influence product direction and company roadmap from Day 1
• Competitive salary + equity + flexible remote culture

How to apply-

Send your resume or GitHub to tech@nul.global