Data Scientist - AI/ML (Remote)

Quik Hire Staffing; Italia; Remote; EUR 52,000 - 90,000; Full time

Job summary

Quik Hire Staffing is seeking a Data Scientist (ML) on a full-time basis to design, train, and deploy machine learning models that improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows in a remote environment.

The role offers exposure to cutting-edge tools, scalable AI projects, and opportunities to contribute to the development of production-grade pipelines.

Qualifications

• 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 for model deployment.
• Ability to work independently in a remote environment with minimal supervision.

Responsibilities

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

Skills

Python

SQL

Statistical Modeling

MLOps

Remote Work

Tools

scikit-learn

TensorFlow

PyTorch

SQL

Job description

We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a Full-Time basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.

Key Responsibilities

• 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.

Required Skills & Qualifications

• Proficiency in Python and relevant 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 including AWS, GCP, or Azure for model deployment.
• Ability to work independently in a remote environment with minimal supervision.

More About the Opportunity

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.