Senior Data Scientist

• Develop, optimize, maintain, and troubleshoot machine learning models.
• Plan and conduct experiments to validate hypotheses efficiently.
• Transform prototype code into production-ready solutions.
• Deploy models and establish workflows using current technology platforms.
• Report directly to the Data Science Team Lead.

• Master’s or Ph.D. degree in Data Science, Computer Science, Mathematics, or a related field.
• 3+ years of experience in data science or machine learning.
• Proven experience in developing and deploying ML models, particularly in time-series forecasting.

Skills and Expertise:

• Proficiency in Python, with experience using key libraries such as scikit-learn, statsmodels, numpy, pandas, TensorFlow or PyTorch, Flask, and Streamlit.
• Familiarity with MYSQL, Git, Actions, Docker, Apache Airflow, MLFlow, and GraphQL.
• Experience with visualization tools like Grafana.
• Strong communication and presentation skills, solid experimental design abilities, and flexibility to manage diverse tasks.
• Excellent written and spoken proficiency in both Lithuanian and English.

• A Supportive Team: Work with passionate professionals in an encouraging, creative environment.
• Challenging Projects: Engage in meaningful projects that drive innovation and allow you to turn challenges into achievements.
• Continuous Development: Take advantage of learning opportunities through courses, seminars, and conferences that support your career growth.
• Flexible Working Hours: Balance work and life with hours that suit you (by agreement).
• Modern Workspace: Enjoy our stylish office in Vilnius's "Park Town" business center, complete with parking for cars and bikes.
• Snacks and Goodies: Stay energized with fresh coffee, snacks, and lunches.
• Entertainment: Relax with table football and table tennis during your breaks.
• Competitive Salary: Earn a competitive salary of 3000–7000 euros/month (gross), reflecting your skills and contributions.

Join us and let's create change together! If you're eager to contribute to meaningful innovations in a supportive, growth-focused environment, apply now and help us transform the future of retail workforce management!