Data Science Engineer

We are growing our Data team and are looking for an experienced Data Science Engineer. As a Data Science Engineer, you will be responsible for the end-to-end lifecycle of machine learning projects, from ideation and experimentation to model development and preparation for production. You will tackle complex business problems using a variety of ML techniques and contribute to our growing expertise in AI. 

Responsibilities

• Lead the research, design, and development of machine learning models to solve business challenges, leveraging both traditional ML techniques and advanced AI approaches
• Develop and implement data collection strategies, feature engineering techniques, model development and evaluation metrics
• Apply containerization and version control for effective model development and reproducibility. Ensure models are well-documented and prepared for deployment in collaboration with ML Engineers
• Communicate complex technical findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest advancements in ML/AI
• Contribute to the development of our data science best practices and methodologies
• Proactively seek opportunities to showcase the team's work and build awareness of the value of data science and AI within the organization

Expected Skills & Experience

• Education in computer science, engineering, mathematics or related fields
• Experience as a Data Scientist or similar role, with a strong focus on applied machine learning independently driving data science projects from conception to near-production readiness
• Deep understanding of statistical modeling, machine learning algorithms (including time series, optimization, classification, object detection, anomaly detection, etc.), and evaluation metrics. Traditional ML is a core foundation, but experience in Computer Vision and/or advanced AI models (LLMs, agents) is a strong advantage
• Proficiency in Python and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with Restful API frameworks (e.g., FastAPI, Flask)
• Strong analytical and problem-solving abilities with a focus on driving measurable business value. Solid communication and presentation skills

Bonus Points

• Experience with Computer Vision and/or advanced AI (LLMs, AI agents) problems and familiarity with tools like Ultralytics (YOLO), LangChain or similar
• Experience with MLOps concepts, workflows and tools (specifically, Kubeflow, Kubernetes)
• Contributions to data science or ML communities

We care for the well-being of our employees and offer

• The opportunity to contribute to business activities that are strategically important for Lithuania
• Free train trips in Lithuania
• Internal career and professional development opportunities
• Additional health insurance
• Accident insurance
• Additional paid days of leave
• Flexibility and hybrid work possibility