The company is 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.
They have built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers.
The role of Junior Data Ninja involves taking ownership of building and maintaining data workflows and contributing to applied AI/ML solutions that power real-world outcomes, alongside more experienced Data Engineers.
This position is ideal for someone early in their career, possibly just out of university, who is ready to tackle real-world problems and ship impactful code.
Core responsibilities include building and maintaining scalable data pipelines, writing efficient code for data transformation, and taking ownership of ETL workflows.
The role also involves independently developing and training models for core business problems, applying standard techniques, and contributing to the productionization of models with a focus on real-life utility.
Requirements:
Candidates must have a solid grasp of programming in Python and SQL, with familiarity in tools like Pandas, Polars, or Spark being a plus.
An understanding of key machine learning concepts such as supervised/unsupervised learning, model evaluation, and overfitting is required.
Some experience using libraries like scikit-learn, TensorFlow, PyTorch, or Spacy is necessary, even if gained through academic or personal projects.
A strong sense of ownership is essential; candidates should be the type of person who finishes what they start and knows how to ask the right questions when faced with challenges.
Experience with data visualization tools such as Seaborn or Plotly is considered a nice-to-have.
Benefits:
The company has secured a €4m pre-seed round and offers a vibrant office environment in Milan, Italy, while also welcoming remote workers.
Employees are part of a stellar team with experience from some of the best startups worldwide.
The company fosters a culture of autonomy and shared ownership, encouraging learning through experimentation and tangible results.