Senior Data Scientist (Remote Friendly)

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 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. What will help you thrive? - 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. Bonus points - 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. What to Expect from Our Hiring Process We like to keep things transparent and efficient! Here’s what the process usually looks like (though it might vary slightly depending on the role): 1️⃣ Intro Chat – A first call with our Talent Partner Giuliana https://www.linkedin.com/in/giulianaderocco/ to explore mutual fit around relevant skills, value alignment, and motivation. 2️⃣Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with Wiktor https://www.linkedin.com/in/wiktor-kulikowski-00839a93/?skipRedirect=true, 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. 3️⃣Business Case – A take-home exercise incl. a few days' preparation time, designed to understand how you approach real-life problems. You’ll then walk us through your approach in a collaborative discussion with the hiring manager and the team to discuss your thoughts and findings. 4️⃣Final Interview – A final conversation with one of your main stakeholder from our Global Team. 5️⃣ References & Offer! Why You’ll Love It Here 💙 Global Benefits