Remote Data Scientist - AI/ML for Scalable Solutions

Quik Hire Staffing

Bolzano

Remoto

EUR 104.000 - 156.000

Tempo pieno

6 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML) to join on a full-time, remote basis. You will develop and deploy machine learning models to improve predictive accuracy for client datasets, collaborating with cross-functional teams to translate data into actionable solutions.

The role emphasizes building end-to-end ML solutions, data preprocessing of large structured and unstructured data, and maintaining reproducible experiments with Python, Jupyter, and Git, while delivering clear visuals

Competenze

  • Proficiency in Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with SQL for data extraction, transformation, and analysis.
  • Strong background in statistical modeling and experimental design.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
  • Ability to work independently in a remote environment with minimal supervision.

Mansioni

  • Design, train, and optimize machine learning models for classification, regression, and clustering tasks.
  • Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.
  • Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.
  • Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.
  • Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Conoscenze

Python
scikit-learn
TensorFlow
PyTorch
SQL
Statistical Modeling
Remote Work

Strumenti

AWS
GCP
Azure
Jupyter
Git

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML) to join on a full-time, remote basis. You will develop and deploy machine learning models to improve predictive accuracy for client datasets, collaborating with cross-functional teams to translate data into actionable solutions.

The role emphasizes building end-to-end ML solutions, data preprocessing of large structured and unstructured data, and maintaining reproducible experiments with Python, Jupyter, and Git, while delivering clear visuals

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