Data Scientist

Omniful is a B2B SaaS company revolutionizing the supply chain, logistics, and fulfillment industry through a Unified Supply Chain Platform. Our AI-powered Order Management System (OMS), Warehouse Management System (WMS), and Transport Management System (TMS) help businesses scale smarter, faster, and more efficiently.

We work with modern retailers, 3PL providers, self-fulfilling businesses, shipping companies, and dark store networks, helping them orchestrate orders, optimize inventory, and manage deliveries in real time. With seamless plug-and-play integrations, we enable businesses to handle multi-channel fulfillment, automate smart order routing, and streamline logistics operations.

At Omniful, we’re building the future of commerce—one that’s seamless, efficient, and scalable. If you’re looking to work on cutting-edge AI-driven supply chain solutions, redefine logistics technology, and be part of a fast-growing global team, you’re in the right place.

Join us and help shape the next generation of intelligent commerce solutions.

As a Data Scientist at Omniful, you will develop machine learning models and AI-driven solutions to optimize logistics, warehouse operations, and supply chain efficiency. You will analyze large datasets, extract actionable insights, and work on predictive analytics to improve decision-making for businesses using our platform.

Candidates must have experience in machine learning, statistical analysis, and data modeling using Python, TensorFlow, or PyTorch. Strong knowledge of SQL and data visualization tools is required.

Experience with demand forecasting, route optimization, and NLP for customer interactions will be beneficial. Familiarity with big data technologies like Apache Spark or Hadoop is a plus.

Applicants should have worked in a data-driven environment, collaborating with product and engineering teams to implement AI-powered features.