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 company provides marketplaces, SaaS, and AI tools to help doctors, clinics, and hospitals work more efficiently.

• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
• Strong Python skills and hands-on experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistics, experimentation, machine learning, and model evaluation techniques.
• Experience working with large datasets, SQL, and data warehouses such as Redshift, BigQuery, or Snowflake.
• Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD).
• Experience using AI-powered tools or AI agents to improve efficiency and automate repetitive tasks.
• Strong communication skills and ability to translate business needs into practical technical solutions.
• Comfortable working in agile, fast-paced, and 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 deployment in production.
• Build predictive models and machine learning solutions that support 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 together 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, Docplanner is not able to sponsor visas for this position. Applicants must have the legal right to work in their country of residence or the location of the role.