Senior Data Scientist (Remote Friendly)

• 5+ years in Data Science, ML, or Advanced Analytics roles
• Strong Python skills with Pandas, Scikit-learn, TensorFlow, or PyTorch
• Solid understanding of statistics, experimentation, ML, and model evaluation
• Experience with large datasets, SQL, and data warehouses xkdbapo (Redshift, BigQuery, Snowflake)
• Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD)
• Experience using AI-powered tools or AI agents to improve efficiency
• Strong communication and ability to translate business needs into technical solutions

• Comfortable in agile, fast-paced, cross-functional environments

• Strong communication
• Cross-functional collaboration
• Problem-solving mindset
• Python
• Pandas
• Scikit-learn

Publicado hace 5 horas Remote Friendly Full-time Analytics PyTorch Data Science AI Cross-functional Collaborations Overview La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.

As a Senior Data Scientist at Docplanner, you translate complex data into actionable insights and scalable ML solutions that drive growth and operational excellence. You will own end-to-end data science and BI projects across Business, Operations, and Product, collaborating with stakeholders and engineering teams. You’ll build predictive models, analyze large datasets, and design experiments to validate hypotheses. This role supports global AI initiatives and helps scale data pipelines and ML workflows, with a focus on impact and pragmatic delivery. Compensaciones / Beneficios

• Healthcare insurance
• Wellness programs
• Generous time off
• Local location perks
• Career growth opportunities
• Global, diverse team

Responsabilidades

• Own end-to-end data science and BI projects from exploration to production deployment
• Build predictive models and ML solutions to support decision-making and efficiency
• Analyze large datasets to identify insights, trends, and growth opportunities
• Design and evaluate experiments and A/B tests to validate hypotheses
• Collaborate with Product, Sales, Marketing, and Engineering teams
• Improve and maintain scalable data pipelines and ML workflows with Data & ML engineering
• Leverage AI tools and agents to automate workflows and accelerate experimentation
• Contribute to best practices in model development, testing, deployment, and documentation