Senior Data Scientist

At Docplanner Group, the world's largest healthcare platform, we connect 24 million patients with 280k doctors across 13 countries through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda. The group provides marketplaces, SaaS, and AI tools that simplify daily tasks for doctors, clinics, and hospitals, enabling them to focus on patient care.

• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
• Strong Python skills and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistics, experimentation, machine learning, and model evaluation techniques.
• Experience with large datasets, SQL, and data warehouses like Redshift, BigQuery, or Snowflake.
• Familiarity with MLOps and modern development practices including Git, Docker, MLflow, and CI/CD.
• Experience using AI-powered tools or AI agents to improve efficiency and automate tasks.
• Strong communication skills and ability to translate business needs into technical solutions.
• Comfortable in agile, fast-paced, cross-functional environments.

Nice to have:

• Experience with Airflow, k8s, Jupyter Notebook, Athena, or other big data technologies.
• Experience with NLP, LLMs, or AI agent workflows.
• Familiarity with BI and visualization tools such as Tableau or Superset.
• Previous experience in SaaS or high-growth tech environments.

• Own and deliver end-to-end data science and BI projects, from exploration and experimentation to production deployment.
• Build predictive models and machine learning solutions supporting business decision-making and operational efficiency.
• Analyze large datasets to uncover actionable insights, trends, and growth opportunities.
• Design and evaluate experiments and A/B tests to measure impact and validate hypotheses.
• Collaborate with cross-functional teams across Product, Sales, Marketing, and Engineering.
• Improve and maintain scalable data pipelines and ML workflows with Data & ML engineering teams.
• Use modern AI tools, copilots, and AI agents to automate workflows, accelerate experimentation, and improve productivity.
• Contribute to best practices in model development, testing, deployment, and documentation.

At this time, we are not able to sponsor visas for this position. Applicants must already have the legal right to work in their country of residence or the role's location.