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Junior Data Ninja at Veliu. Remote Location: EU Remote (anywhere). Our Mission. Circularity for everyone! We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide.. Also, 2025 €4m pre-seed round secured.. Our Culture. We foster autonomy within our team, driven by our mission and the belief that 'culture eats strategy for breakfast.' In our view, agile management, long-term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation. . Who we are. Our stellar team that has worked in some of the best startups worldwide:. Gianmaria Montelone - prev. Senso. Alessandro Ruffini - prev. Scalapay. Marco D'Ambros - prev. Palantir, DruidVision. Giulio D'Alì Aula - prev. Palantir, eBay. Azra Hadziabdic - prev. Qomodo, Credimi. Alessandro Lattao - prev. BrumBrum, Macai. ...and more!. 👉 You! . We are headquartered in Milan (Italy) but most of us work remotely.. If you’re are passionate about solving tough problems and building for a better future, let’s build something extraordinary together!. Role. As a Junior Data Ninja, you’ll take ownership of building and maintaining data workflows and contributing to applied AI/ML solutions that power real-world outcomes, along side more experienced Data Engineers.. This role is ideal for someone early in their career — perhaps just out of university — who’s ready to step into real-world problems and ship code that matters.. Core Responsibilities. Data Engineering:. Build and maintain scalable data pipelines to ingest, clean, and transform structured and unstructured data.. Write clear, efficient code that moves data from raw sources to usable formats in data lakes, warehouses, or other systems.. Take ownership of smaller-scale ETL workflows or subcomponents of larger pipelines, ensuring reliability and performance.. Data Science & AI/ML:. Independently develop and train models for core business problems such as prediction, recommendation, and classification.. Apply standard techniques like regression, clustering, and time-series forecasting — and iterate based on real-world feedback.. Contribute to productionizing models or algorithms, with a focus on real-life utility rather than research.. Skills We Are Looking For. Solid grasp of programming in Python and SQL; familiarity with tools like Pandas, Polars, or Spark is a plus.. Understanding of key ML concepts such as supervised/unsupervised learning, model evaluation, and overfitting.. Some experience using libraries like scikit-learn, TensorFlow, PyTorch, or Spacy — even in academic or personal projects.. Strong sense of ownership — you're the kind of person who finishes what they start and knows how to ask the right questions when stuck.. Nice to Have:. Experience with data visualization tools (Seaborn, Plotly, etc.).