Data Scientist

We are looking for a proactive specialist who combines a strong analytical mindset with a passion for building production-ready models. You should be an innovative problem-solver who enjoys experimenting with new technologies while maintaining a high level of ownership over the entire model lifecycle.

Our team is responsible for designing, training, and deploying high-impact predictive models such as dynamic pricing and matching systems. We focus on enhancing user experience through advanced recommendation and ranking systems, processing thousands of daily transactions to optimize platform efficiency. Our work is highly collaborative, as we partner closely with MLOps to ensure the stability and scalability of our solutions in both online and offline environments.

• Design, train, and deploy predictive models for dynamic pricing, recommendations, and matching at a scale of thousands of daily transactions.

• Develop recommendation and ranking systems using learning-to-rank models, embeddings, and behavioral data to optimize result relevance.

• Experiment with cutting-edge approaches, including deep learning, time series, GenAI, and LLMs for contextual profiling.

• Collaborate with the MLOps team to ensure stable and scalable model performance across online and offline environments.

• Monitor and optimize model quality by identifying drift and implementing continuous improvements to forecasts.

• Explore large datasets, perform feature engineering, and communicate insights to stakeholders through visualizations and presentations.

• Experience: minimum 2 years of experience as a Data Scientist or in a related role.

• Language: Polish (C1) and English (B2).

• Tool Pro: solid knowledge of ML algorithms, Deep Learning, and Learning-to-Rank; proficiency in Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch or TensorFlow); SQL; AWS; Snowflake; Plotly; Streamlit; Git; Jupyter Notebooks / JupyterLab.

• Soft Skills: communicative, analytical thinking, ability to present complex data insights, proactive approach to experimentation.

Bonus points for:

• Experience in building personalization, matching, or recommendation systems.

• Practical work with LLMs in the context of generating recommendations or user profiling.

• Knowledge of Snowpark within the Snowflake ecosystem.

• Collaboration in a team that encourages experimentation and innovation, providing opportunities to contribute your ideas and solutions – with us, you have a real impact on the development of projects, our products, and services.
• Knowledge exchange within thematic guilds organized by coworkers – to stay ahead in your field or gain new expertise.
• Growth-oriented environment – A culture that learns from mistakes and embraces experimentation.
• Development of skills in the dynamic TSL (Transport, Shipping, and Logistics) industry, offering you the chance to gain deep insights and work on impactful projects that shape the future of global trade and logistics.

• Private LuxMed healthcare, free preventive check-ups,
• Comfort Work Setup: we provide funding for upgrading your home workstation
• International workation trips & team-building events
• Family trips to our private lakeside resort
• Sport & Fun: MultisportCard & company sport groups – yoga, basketball, crossfit and more. You can even start your own group!
• Subsidized English lessons with a native speaker
• Life insurance with UNIQA.
• Office perks: awesome breakfasts, flexible working hours, spine-relieving massages

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.