Requirements: English
Company: eCarsTrade
Region: Arlon , Wallonia
Are you a data-driven problem solver with a passion for machine learning and predictive analytics? Do you thrive on building models that drive real business impact, optimizing processes, and uncovering insights from complex datasets? Are you both detail-oriented and capable of seeing the bigger picture? If youre looking to apply your ML expertise in a fast-growing and dynamic company, we want to hear from you! At eCarsTrade, we value innovation, analytical thinking, and a results-driven mindset. In return, we offer flexibility, competitive incentives, and an environment for professional growth. Responsibilities Develop and maintain predictive models to estimate used car market prices, customer willingness-to-pay, supplier acceptance prices, lead time etc... Design, implement, and maintain analytical and ML microservices using Python. Collaborate with cross-functional teams (Product, Sales, and Engineering) to identify business needs and model opportunities. Identify and correct inaccuracies in car data (e.g., missing features, incorrect attributes). Build recommendation engines to suggest optimal auction strategies and vehicle pricing. Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience building and deploying end-to-end ML models and analytical solutions. Ability to work independently and manage multiple projects with minimal supervision. Experience building and maintaining microservices (e.g., using Flask, FastAPI, or similar frameworks). Strong Python coding skills, including experience with libraries such as Pandas, NumPy, SciPy, scikit-learn, and possibly PySpark. Deep understanding of regression, classification, time-series forecasting, and clustering methods. Strong communication and presentation skills for both technical and non-technical audiences. Nice-to-Have Experience in automotive or auction-based industries. Experience with ML lifecycle and MLOps (model versioning, CI/CD pipelines for ML). Please send your CV to jobs@eCarsTrade.com