Docplanner Group

Healthcare

SeniorDataScientist

€55–85k ~AI est. Spain FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist at Docplanner Group. Skills: Data science, Machine learning, BI projects, Predictive models. Own and deliver data science and BI projects. Build predictive models”

Industry & Context.

Healthcare

What They're Looking For.

Must Have

5+ years of experience in Data Science, 5+ years of experience in Machine Learning, 5+ years of experience in Advanced Analytics, Python skills, Solid understanding of statistics, Solid understanding of experimentation, Solid understanding of machine learning, Solid understanding of model evaluation techniques, Experience working with large datasets, SQL proficiency, Experience with data warehouses, Familiarity with MLOps, Familiarity with modern development practices, Experience using AI-powered tools, Experience using AI agents, Communication skills, Ability to translate business needs into technical solutions, Comfortable working in agile environments, Comfortable working in fast-paced environments, Comfortable working in cross-functional environments

Nice to Have

Experience with Airflow, Experience with k8s, Experience with Jupyter Notebook, Experience with Athena, Experience with other big data technologies, Experience with NLP, Experience with LLMs, Experience with AI agent workflows, Familiarity with BI tools, Familiarity with visualization tools, Previous experience in SaaS, Previous experience in high-growth tech environments

What You'll Do.

Own and deliver data science and BI projects

Build predictive models

Build machine learning solutions

Analyze large datasets

Uncover actionable insights

Uncover growth opportunities

Collaborate with cross-functional teams

Improve scalable data pipelines

Maintain scalable data pipelines

Maintain ML workflows

Accelerate experimentation

Contribute to best practices

How You'll Work.

Team & Collaboration

Cross-functional teams; Product teams; Sales teams; Marketing teams; Engineering teams; Data teams; ML engineering teams

Process & Methodology

Agile

Full Job Description

Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. 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. Learn more about our products here: https://pro.doctoralia.es/pro.doctoralia.es http://pro.doctoralia.es Why join us? 📊 Real impact – We help doctors help patients. Your work truly makes a difference. 📈 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. Job Description As a 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 work on high-impact initiatives across Business, Operations, and Product areas, partnering closely with business stakeholders, engineers, and analytics teams. 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. We are looking for someone who combines strong technical expertise with business understanding and a pragmatic, impact-driven mindset. This role is part of our Global Data department, supporting data and AI initiatives across Docplanner’s international operations. How would you be impacting our mission? - 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 operationa

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