Senior Data Scientist

Foxway seeks Senior Data Scientist for AI innovation in pricing strategy About the jobJoin a leading European company in the technology refurbishing sector as a Senior Data Scientist. You will be instrumental in developing a roadmap and deploying advanced algorithms that automate and optimize pricing decisions across our marketplaces and other sales channels, directly impacting our competitiveness and operational efficiency. This is a high-impact role for an expert who thrives at the intersection of business insight, operational complexity, and cutting-edge AI. Locations: Estonia (Tartu), Estonia (Tallinn), Sweden (Stockholm)Key responsibilities:

Algorithm Development & AutomationDesign, build, and implement machine learning and statistical models to automate pricing decisions for refurbished mobile devices, from prototype to production environmentDevelop robust, scalable AI algorithms that address real-world pricing challenges, including dynamic pricing, demand forecasting, and competitor analysisBusiness Insight & Model TranslationCollaborate closely with business, operations, and product stakeholders to distil complex requirements into actionable data science solutionsTranslate operational and market insights into predictive and statistical models that drive measurable business valueDeveloping and continuous model improvementContinuously monitor model performance, address issues such as data drift or model degradation, and retrain models as necessary to maintain optimal accuracyDesign and execute experiments (A/B tests) to evaluate pricing strategies and model improvements.

Stay current with the latest research and industry best practices, suggesting and implementing state-of-the-art approaches to improve pricing outcomesCollaboration & CommunicationWork cross-functionally with engineering, data, and business teams to ensure seamless integration of pricing models into marketplace systemsSupport IT department and ML engineers to deploy models into production, ensuring reliability, scalability, and maintainability in a live marketplace environmentClearly communicate complex analytical findings and recommendations to both technical and non-technical stakeholders, enabling data-driven decision-makingRequired Qualifications: 5–10 years of hands-on experience as a Data Scientist, with a proven track record in marketplace or e-commerce environments.

Demonstrated expertise in designing and maintaining life cycle of machine learning models in productionProficiency in Python and SQL; experience with relevant ML libraries (e. g. , scikit-learn, XGBoost). Deep understanding of statistical analysis, predictive modelling, and experimentation methods (regression, causal inference, A/B testing). Experience translating business and operational insights into statistical and predictive models that deliver tangible business impact. Familiarity with designing AI algorithms with robust issue handling and monitoring in production environments. Excellent communication and stakeholder management skills, with the ability to present complex results clearly and persuasivelyDegree in Statistics, Computer Science, Mathematics, or a related fieldPreferred Experience:

Deeper specialization in the Data Science / AI field (incl. Large language models). Experience with pricing automation or revenue management in large-scale, high-transaction marketplaces. Bonus if working especially for pricing, with good grasp of price-elasticity modelling, demand forecasting, or revenue optimization. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker) for model deployment. Experience with C#Join our waymakers and. . You will get the opportunity to apply your knowledge and skills and work with fun and professional people. We have excellent conditions for professional and personal development.

We have youthful and friendly people who all share one mission – saving the planet by reducing electronic waste through circular economy. We offer free lunches and fruits, sporting and health benefits, and team events. Ping us, so we can tell you more! We'd like to see your application by 14. 08. 2025