Senior Data Scientist — End-to-End ML for Growth

DocPlanner

Warszawa

Hybrid

PLN 180,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Meal vouchers
Transport allowances
Extended parental leave

Job summary

Docplanner is seeking a Senior Data Scientist to transform complex data into actionable insights and scalable ML solutions that drive business growth and operational excellence. You will own data science projects end-to-end, from problem definition to deployment and monitoring.

You will work across Global Data, partnering with stakeholders and engineers to deliver high-impact initiatives using large-scale datasets and ML infrastructure in a fast-paced, agile environment.

Qualifications

  • 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
  • Strong Python skills with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of statistics, experimentation, machine learning, and model evaluation techniques.
  • Experience with large datasets, SQL, and data warehouses (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 and automate repetitive tasks.
  • Strong communication skills and ability to translate business needs into practical technical solutions.
  • Comfortable working in agile, fast-paced, cross-functional environments.
  • Bonus: NLP, or BI tools like Tableau/Superset.

Responsibilities

  • Own and deliver end-to-end data science and BI projects from exploration to production deployment.
  • Build predictive models and ML solutions to support decision making and operations.
  • Analyze large datasets to uncover trends, insights, 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 teams.
  • Leverage AI copilots and agents to automate workflows and boost productivity.
  • Contribute to best practices in model development, testing, deployment, and documentation.

Skills

Python programming
Statistical analysis
Experimentation
Communication

Tools

SQL
Redshift
BigQuery
Snowflake
Docker
Git
MLflow

Job description

Docplanner is seeking a Senior Data Scientist to transform complex data into actionable insights and scalable ML solutions that drive business growth and operational excellence. You will own data science projects end-to-end, from problem definition to deployment and monitoring.

You will work across Global Data, partnering with stakeholders and engineers to deliver high-impact initiatives using large-scale datasets and ML infrastructure in a fast-paced, agile environment.

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