Senior Data Scientist — Hybrid/Remote AI & ML Leader

EPAM Systems Inc

Polska

Hybrid

PLN 180,000 - 270,000

Full time

37 hours ago
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Benefits offered by this job

Hybrid work by design
Remote within Poland
Employee Stock Purchase Plan 15%
Relocation opportunities
English classes
Growth and mentoring programs

Job summary

EPAM Systems Inc in Poland seeks a Senior Data Scientist to transform data into actionable insights for AI, cloud, and software programs. You will identify problems, gather data, build models, and present results to stakeholders across teams.

The role emphasizes Python development, data exploration, ML lifecycles, and collaboration with product and engineering. Docker/Linux/ML tooling experience is advantageous.

Qualifications

  • 3+ years of relevant experience with data systems and data workstreams.
  • Python coding to high quality standards (PEP-8).
  • Ability to build models, develop hypotheses, and design experiments.
  • Knowledge of ML lifecycle, evaluation metrics, and feature engineering.
  • Ability to interpret analyses and present business recommendations.

Responsibilities

  • Identify business problems and find data and methods to address them.
  • Process large volumes of structured and unstructured data.
  • Turn data into actionable insights and visualizations.
  • Create data pipelines for feature engineering and cleaning.
  • Present findings to stakeholders and coach others.

Skills

Python
Data analysis
Modeling
Experiment design
Communication
CRISP-DM

Education

Bachelor's / Master in CS or Math or Stats

Tools

Docker
Linux
CI/CD
MLflow
PyTorch
TensorFlow
PySpark

Job description

EPAM Systems Inc in Poland seeks a Senior Data Scientist to transform data into actionable insights for AI, cloud, and software programs. You will identify problems, gather data, build models, and present results to stakeholders across teams.

The role emphasizes Python development, data exploration, ML lifecycles, and collaboration with product and engineering. Docker/Linux/ML tooling experience is advantageous.

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