About this role
Based in Spain with remote flexibility, the Senior Data Scientist role at Docplanner involves transforming complex information into scalable machine learning solutions and actionable insights. This position is well-suited for a seasoned technical professional who wants to drive business growth and operational efficiency within a global healthcare platform.
Role Overview
Docplanner is hiring a Senior Data Scientist to join its Global Data department and support international operations. The professional in this position will handle end-to-end data science and Business Intelligence projects, collaborating closely with engineering, analytics, and business stakeholders across product, sales, and marketing sectors.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Docplanner Group operates a large healthcare platform connecting millions of patients with doctors across multiple countries through marketplaces, SaaS, and AI tools. The organization employs over 3,000 staff members globally, maintaining offices in locations such as Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, and Bologna.
How to Apply
To apply for this position, please visit the official Docplanner careers page to submit your application and review further details.
Skills and tech stack
Questions candidates ask
Can I work remotely for this role?
Yes, the position offers remote flexibility, though candidates also have the option to work from company hubs in cities such as Barcelona, Warsaw, and others.
Is visa sponsorship available for this position?
No, visa sponsorship is not available. Applicants must already hold the legal right to work in their country of residence or the location of the role.
What level of experience is required?
Candidates must have 5 or more years of professional experience in Data Science, Machine Learning, or Advanced Analytics roles.
What does the hiring process look like?
The hiring process includes an initial intro chat with a talent partner, a hiring manager interview, a take-home business case exercise with a collaborative discussion, a final interview with a global team stakeholder, and reference checks.
What technical skills are necessary for the job?
Required technical skills include strong Python programming, experience with libraries like Pandas and Scikit-learn, SQL proficiency, work with data warehouses like BigQuery or Snowflake, and familiarity with MLOps practices.