Company Description
As the world's largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients.
At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on.
? Senior Data Scientist
at Docplanner, you will help transform complex data into actionable insights and scalable machine learning solutions that directly impact business growth and operational excellence. You will own data science and BI projects end-to-end - from problem definition and experimentation to model deployment and monitoring - using large-scale datasets and ML infrastructure. This role is part of our Global Data department, supporting data and AI initiatives across Docplanner's international operations.
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.
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.
Contribute to best practices in model development, testing, deployment, and documentation.
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).
Comfortable working in agile, fast-paced, and cross-functional environments.
Experience with Airflow, k8s, Jupyter Notebook, Athena, or other big data technologies.
Familiarity with BI and visualization tools such as Tableau or Superset.
Here's what the process usually looks like (though it might vary slightly depending on the role):
Intro Chat
– Business Intelligence Manager and your potential manager in this role
.
Take this chance to ask anything on your mind—it's just as much about making sure we're the right fit for you, too.
A final conversation with one of your main stakeholder from our Integral Team.
Why You'll Love It Here
? Global Benefits –
Healthcare insurance – so you can focus on what matters.
Time off that counts – whether it's a vacation, your birthday, or just a day to recharge, we believe in balance.
? Local Perks –
Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave.

- You'll find lots of chances to learn, develop, and explore new paths—whether within your team or through cross-functional projects.
- A Truly Global Team –

Remote work and flexible hours aren't just buzzwords here. Prefer an office setting? At this time, we are not able to sponsor visas for this position. To apply, you must already have the legal right to work in your country of residence or the location of the role.
Keep it simple, keep it lean –
Don't just take our word for it—check out our

📌 Data Science Data Science Senior Data Scientist (Python) (Remote)
🏢 Docplanner
📍 Málaga