
1001 - 5000 employees
🏥 Healthcare
🏪 Marketplace
☁️ SaaS
💰 Venture Round - DocPlanner on 2021-09
Healthcare • Marketplace • SaaS
Docplanner is a global healthcare platform that connects patients with doctors and supplies practice-management and patient-engagement tools to clinics and medical professionals. The company offers an integrated end-to-end solution to help patients find and book doctors, reduce no-shows, improve clinic workflows, and help doctors manage their online presence and reputations. Docplanner operates in 13 countries with over 2,800 employees, reports ~25 million appointments booked in a month, ~100 million monthly website visits, and about 300,000 active doctors using its services.
🔥 53 minutes ago
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1001 - 5000 employees
🏥 Healthcare
🏪 Marketplace
☁️ SaaS
💰 Venture Round - DocPlanner on 2021-09
Healthcare • Marketplace • SaaS
Docplanner is a global healthcare platform that connects patients with doctors and supplies practice-management and patient-engagement tools to clinics and medical professionals. The company offers an integrated end-to-end solution to help patients find and book doctors, reduce no-shows, improve clinic workflows, and help doctors manage their online presence and reputations. Docplanner operates in 13 countries with over 2,800 employees, reports ~25 million appointments booked in a month, ~100 million monthly website visits, and about 300,000 active doctors using its services.
• 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.
• 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.
• Healthcare insurance – so you can focus on what matters. • Wellness that works for you – from gym memberships to mental health support, we’ve got you covered. • Time off that counts – whether it’s a vacation, your birthday, or just a day to recharge, we believe in balance. • Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave. • We’re growing, and so can you! You’ll find lots of chances to learn, develop, and explore new paths—whether within your team or through cross-functional projects. • Work with talented people from all over the world in a diverse and inclusive environment. • Remote work and flexible hours aren’t just buzzwords here. While the extent of flexibility depends on your role and team, we value results over rigid schedules.
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