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

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.

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.

• 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.

• 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/Jupyter Lab.
• 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, Num Py, Cat Boost, XGBoost, Light
    
    GBM, Scikit-Learn, Keras, Tensor Flow, 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.

• Private Lux Med 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.

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!

, 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.

“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 –…