Data Scientist: AI/ML for Real-World Impact (Hybrid)

Digica

Łódź

Hybrid

PLN 150,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Hybrid working model
Remote work option
International collaboration

Job summary

Digica is seeking a passionate Data Scientist to design and deliver ML solutions end-to-end, from exploration to deployment. You will work with diverse data, collaborating with teams to bring models into production and translate analytics into actionable business insights.

The role involves building CV/ML/AI models, selecting algorithms, and collaborating with international clients. A hybrid model with 3 days in the office is offered, plus flexible employment options.

Qualifications

  • 3+ years of experience in data analysis, computer vision, machine learning, or statistical modeling.
  • Practical experience with ML model deployment (on cloud or on-premise).
  • Solid programming skills in Python (NumX, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow).
  • Understanding of Windows or Linux software development platforms
  • Good understanding of statistics and data preparation.
  • Working knowledge of SQL and version control tools (Git).
  • Fluent English – for international communication and collaboration.

Responsibilities

  • Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based).
  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.).
  • Integrating models into production environments.
  • Performing data cleaning, feature engineering, and model validation.
  • Collaborating with clients and internal teams to translate analytical results into actionable insights.

Skills

Python
ML Deployment
SQL
Git
English

Tools

Docker
MLflow
Airflow
AWS/GCP/Azure

Job description

Digica is seeking a passionate Data Scientist to design and deliver ML solutions end-to-end, from exploration to deployment. You will work with diverse data, collaborating with teams to bring models into production and translate analytics into actionable business insights.

The role involves building CV/ML/AI models, selecting algorithms, and collaborating with international clients. A hybrid model with 3 days in the office is offered, plus flexible employment options.

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