Senior Data Scientist

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• 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

Benefits

• Healthcare insurance
• Wellness that works for you
• Time off that counts
• Local Perks
• Career Growth
• A Truly Global Team
• Flexibility That Works for You