Data Scientist - AI/ML (Remote)

Quik Hire Staffing; Arezzo; Remoto; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML) to work remotely on a full-time basis, 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.

The role requires strong Python ML skills, SQL, statistics, and cloud experience with AWS, GCP, or Azure. You will work independently in a remote environment and contribute to MLOps pipelines and

Competenze

• Proficiency in Python and ML libraries.
• Experience with SQL data extraction and analysis.
• Strong statistical modeling and experimental design.
• Cloud deployment with AWS/GCP/Azure.
• Ability to work independently in a remote environment.

Mansioni

• Design, train, and optimize ML models for classification, regression, and clustering.
• Preprocess and analyze large-scale datasets.
• Implement and maintain MLOps pipelines for deployment, monitoring, and retraining.
• Develop experiments using Python, Jupyter, and version control.
• Present findings with visualizations and technical reports.

Conoscenze

Python

SQL

Statistical modeling

Cloud platforms

Remote work

Strumenti

scikit-learn

TensorFlow

PyTorch

Descrizione del lavoro

• Role: Data Scientist - AI/ML (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

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.