Senior Data Scientist – Remote-friendly, Global Impact

Docplanner; Warszawa; Hybrid; PLN 200,000 - 280,000; Full time

Benefits offered by this job

Healthcare insurance

Meal vouchers

Transport allowance

Parental leave

Flexible hours

Job summary

Docplanner is seeking a Senior Data Scientist to transform complex data into actionable insights and scalable ML solutions that drive business growth. You will own projects end-to-end across global teams, partnering with stakeholders, engineers, and analytics to deploy models and optimize performance.

You’ll work with large datasets, modern ML tech, and AI tools, contributing to our global data strategy and BI initiatives while maintaining scalable pipelines and best-practice guidance.

Qualifications

• Minimum 5 years in Data Science, ML, or Advanced Analytics roles.

Responsibilities

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

Skills

5+ years of experience

Python

Pandas

Scikit-learn

TensorFlow

PyTorch

Statistics

Experimentation

SQL

Redshift

BigQuery

Snowflake

MLOps

Git

Docker

MLflow

CI/CD

Airflow

Kubernetes

AI tools / AI agents

Communication

Agile

Tools

Docker

MLflow

Git

Airflow

Kubernetes

Job description

Docplanner is seeking a Senior Data Scientist to transform complex data into actionable insights and scalable ML solutions that drive business growth. You will own projects end-to-end across global teams, partnering with stakeholders, engineers, and analytics to deploy models and optimize performance.

You’ll work with large datasets, modern ML tech, and AI tools, contributing to our global data strategy and BI initiatives while maintaining scalable pipelines and best-practice guidance.