Data Scientist – AI Matching

Every intelligent solution shapes the future. Ready to make it happen with AI? Join us :) Open role: Data Scientist – AI Matching Natalia Małeczek Talent Acquisition Expert Data Scientist – AI Matching Who are we looking for: We are looking for a Data Scientist who is proactive, curious about new AI trends, and passionate about building systems that learn and adapt to user behavior. You should be a collaborative innovator, skilled at visualizing complex data and working closely with engineers to bring personalization models to life. The role & the team: As a Data Scientist in the AI Recommendation & Matching Models Team, you will be responsible for the entire lifecycle of models that personalize the user experience on our platform. Your primary goal is to design and build sophisticated recommendation engines and learning-to-rank systems. Your work will optimize matching and result ordering, directly influencing user engagement and platform efficiency. What will you do: Design and train machine learning (ML) models (e.g., boosting, deep learning, recommendation, time series) and AI/GenAI-based solutions. Design and train recommendation systems and learning-to-rank models to optimize matching and result ordering. Build and develop user profiles and embeddings (user/item) based on behavioral, contextual, and historical data. Collaborate with MLOps engineers to deploy models (online and offline) and ensure their scalability, stability, and continuous monitoring and optimization. Prepare, explore, and perform feature engineering on large, complex datasets, focusing on key features for matching and ranking models. Create insightful visualizations to present data-driven conclusions to stakeholders and actively track AI trends to improve recommendation methodologies. Required skills: Experience: At least 2 years of experience as a Data Scientist or in a similar role. Experience working with large datasets. Experience with cloud platforms, particularly AWS and Snowflake. Experience with version control systems (Git) and development environments like Jupyter Notebooks/JupyterLab. Language: Polish Tool Pro: Knowledge of Machine Learning, Deep Learning, and Learning-to-Rank algorithms, methods, and best practices. Good knowledge of Python and Data Science libraries (e.g., pandas, NumPy, CatBoost, XGBoost, LightGBM, Scikit-Learn, Keras, TensorFlow, PyTorch). Proficient in SQL with practical experience in querying relational/non-relational databases. Ability to create data visualizations using tools like Plotly or Streamlit. Experience in building personalization or matching systems. Experience using LLMs to generate contextual recommendations and user profiles. What your future teammates love the most: Private LuxMed healthcare, free preventive check-ups, spine-relieving massages. Budget for remote workstation equipment and gift vouchers. On-site buffet breakfasts prepared fresh daily. Team-building and family trips to a private lakeside resort. International workation team trips. Subsidy for a Multisport card. About us: We are at the heart of the digital revolution in transportation. Since 2004, we’ve been building one of the largest logistics platforms in Europe , bringing together carriers, forwarders, and shippers in one place. We automate processes, enhance transaction security, and make transport more efficient . We’re an international tech company operating in 13 countries, and we’re just getting started. We develop cutting-edge digital solutions for transport, freight forwarding, and logistics, powered by the expertise of top developers, customer experience specialists, machine learning engineers, and AI experts . If you’re looking to shape the future of transport technology – this is the place for you At Trans.eu, we believe in Smart & Fair Logistics – a more efficient and transparent industry. That’s why we’ve expanded our capital group, building a network of specialized companies that help us drive this mission forward. How is it work at Trans “What I value most at Trans is the dynamic environment and the fact that I have a real impact – every day brings new challenges I can tackle on my own terms.” “I value Trans because I can be myself – the ideas I bring to the table are implemented and brought to life.” “Trans surprised me with its culture and atmosphere – and the fact that it truly offers real opportunities for growth.” Submit your CV and answer a quick Questionnaire – you’ll get confirmation immediatelyEasy, right? CV Review – We Really Read Them We’re looking for details that show you’re the perfect fit for the role. Show us what you’ve got Friendly "Hello" Our first call will be short, concise, and to the point. We’ll get to know each other better and plan the next step. Relaxed and stress-free Face-to-Face We’ll meet in person or online for about 1-1,5 h. We’ll tell you about the company and the position. We might ask to complete a task or assess your soft skills using the DISC assessment – to see if we are a match made in heaven. Moment of Truth After interviewing other candidates, we’ll get back to you with an answer – whatever it may be. It usually takes us no longer than 2 weeks. Ahoy Adventure Hooray You’re with us We’ll invite you to our epic Welcome Days – where you’ll get to know the product, company culture, and how to navigate within it. We can't wait to see what you bring to the table Hit the button to embark on your Trans.eu adventure. If you have any questions, feel free to reach out to me #J-18808-Ljbffr