Junior Data Scientist
Pubblicato il 12-09-2026 - Measmerize in Poreta
About Us
Faccia ora il prossimo passo nella sua carriera: scorra verso il basso per leggere la descrizione completa del ruolo e invii la sua candidatura.
Measmerize is a cutting-edge technology company focused on revolutionizing the fashion and e-commerce industry. Our data-driven approach and innovative algorithms provide customers with accurate size recommendations, improving their shopping experience and reducing returns for our partner retailers. We also provide our customers with a comprehensive buying experience, providing computer vision-based size recommendations and a Virtual Try On experience for the most well-known luxury brands.
Position Overview
We are seeking a highly skilled and motivated Data Scientist to join our team and play a key role in enhancing our size recommendation, Virtual-Try-On algorithms, and more. As a Data Scientist at Measmerize, you will work on developing and fine-tuning the machine learning models that power our size recommendation engine, improving accuracy, efficiency, and customer satisfaction.
You will leverage your strong collaboration skills and ability to extract valuable insights from a large variety of data sets.
As our second technical hire in data science, you will work directly alongside our Senior Data Scientist. In an era where AI tools handle routine syntax, we don't care if you have memorized function signatures. We care about your ability to think logically, frame problems, leverage modern AI tooling, and independently drive solutions from raw concept to working code.
Key Responsibilities
- Pipeline Development: Build, test, and automate computer vision, GenAI, and machine learning pipelines for size recommendation and image processing.
- Process Automation: Design Python scripts and workflows to streamline data ingestion, preprocessing, and model evaluation.
- Collaborate with cross-functional teams to gather and analyze data to improve algorithms.
- Rapid Prototyping: Take ambiguous technical challenges (e.g.,