Junior Data Scientist / AI Engineer (Tech / Fashion)
Pubblicato il 11-09-2026 - Measmerize in Torino
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.
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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.
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., image quality issues,
body landmark detection edge cases) and prototype working fixes independently.
End-to-End Ownership: Take full accountability for small-to-medium features—from initial problem framing to testing and deployment.
STEM Foundation: Degree (or strong background) in Computer Science, Physics, Mathematics, Engineering, or a related quantitative discipline.
AI-Native Mindset: You fluently use AI coding assistants (Cursor, Copilot, ChatGPT, Claude) to accelerate your workflow, but you retain the technical critical thinking needed to audit, debug, and validate the generated code.
Deep understanding of predictive modeling , machine-learning, clustering and classification techniques, and algorithms
Solid understanding of Python fundamentals, algorithm design, data structures, and basic machine learning / computer vision principles.
Pragmatic Execution: You prioritize building practical, working solutions over theoretical over-engineering.
Integrity: We respect ourselves and others, we do the right thing because it’s the right thing to do.
Own it: We don’t pass the buck, the team depends and trusts in you. We are collectively accountable for the good outcomes, along with the bad.
We are passionate about what we do, we encourage rigorous discourse and make decisions based on logic and data with every exchange based on facts.
Collaboration : We value team over individual and no one should fear asking for help or be unwilling to help others. In this way we build the highest quality systems in everything we do.
30,000–35,000 gross annual salary (RAL), based on experience
~ Meal vouchers In accordance with applicable law, this job offer is subject to privacy legislation (Law 196/03) and is open to applicants of all genders (Law 903/77). Kindly include your authorisation for the processing of personal data pursuant to European Regulation 2016/679 (“GDPR”). xkiyazw All information and data provided will be processed in compliance with the above-mentioned legislation.