Baltic Classifieds Group (BCG)
Data Scientist
Baltic Classifieds Group (BCG)Lithuania13 hours ago
Full-timeEngineering, Information Technology

Company Description

Baltic Classifieds Group (BCG) is the leading online classifieds platform in the Baltics, operating 14 trusted portals across Lithuania, Estonia, and Latvia. Our portfolio spans four key verticals: Auto, Real Estate, Jobs & Services, and Generalist listings, connecting millions of users through top brands like Autoplius.lt, Aruodas.lt, CVbankas.lt, Auto24.ee, City24.ee, Skelbiu.lt and more. With a strong local presence and experienced team, BCG empowers individuals and businesses to buy, sell, hire, and connect through simple and effective digital experiences. Sustainability is at our core — by giving second life to goods, we help reduce environmental impact and support a circular economy in the Baltics.

>95% of employees recommend Baltic Classified Group as the best place to work.

>95% of employees are proud of working here.


Responsibilities

  • Design and develop data-driven models across a wide range of tasks, from traditional classification and segmentation to advanced neural networks and deep learning.
  • Work with LLMs and agentic AI systems, integrating them into larger workflows and applications.
  • Conduct exploratory data analysis, feature engineering, and model evaluation.
  • Architect and deploy scalable ML pipelines using AWS services such as Lambda, ECS, Step Functions, SQS, S3, and related cloud tools.
  • Prepare and manage datasets using Python and core data libraries.
  • Implement model training, fine-tuning, and optimization routines.
  • Build and serve models in production environments — from REST APIs to event-driven or batch pipelines.
  • Collaborate with cross-functional teams to design practical AI solutions that deliver real business value.
  • Continuously monitor, evaluate, and improve model performance and system scalability.


Candidate requirements

  • Strong proficiency in Python and core data science libraries (NumPy, pandas, scikit-learn, TensorFlow, Keras, PyTorch, etc.).
  • Solid understanding of machine learning fundamentals, including supervised/unsupervised learning, feature extraction, model validation, and optimization.
  • Experience with neural networks, deep learning architectures, and modern LLMs (e.g., GPT, Gemma, Claude, Mistral).
  • Hands-on experience with AWS infrastructure — especially Lambda, ECS, Step Functions, SQS, and S3 — or equivalent cloud platforms (Azure, GCP).
  • Familiarity with data storage systems, including both relational (SQL) and NoSQL databases.
  • Strong analytical thinking and problem-solving skills with attention to scalability and maintainability.
  • Ability to build full ML workflows — from data ingestion to model deployment — autonomously.
  • Good communication and documentation skills for presenting results and design choices clearly.


Preferred / Nice to have

  • Experience with Docker, API-based model serving, or microservice architectures.
  • Knowledge of vector databases, embedding models, and semantic search.
  • Curiosity and creativity in experimenting with Agentic AI systems and automation workflows.
  • Interest in continuous learning and staying current with the latest AI research and tools.


What We Offer

  • Monthly salary starting 3000 eur netto (salary is negotiable (depending on experience)
  • Health insurance, many sport initiatives
  • Free parking and free electric car charging
  • A chance to work with a team of professional, experienced, and supportive Data scientists who are always ready to help
  • A fun and friendly work environment with a great team spirit and enjoyable social activities.
  • A conveniently located office in the center of Vilnius with everything you need to stay productive and comfortable.
  • Flexible working hours to help you maintain a healthy work-life balance.
  • Office perks like fresh fruit, table tennis, foosball, and more to keep your energy up.
  • Opportunities to attend tech conferences both in Lithuania and abroad to grow professionally.


Join us if you want to work on cutting-edge data science challenges, shape next-generation AI applications, and have the freedom to bring your own ideas from prototype to production.

Key Skills

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