Remote Data Scientist — Asset & Predictive Maintenance

Siemens; Raleigh (NC); Remote; USD 86,000 - 148,000; Full time

Job summary

Siemens, a leader in asset management, seeks a hands-on Data Scientist to translate asset and operational data into production-ready analytics and ML solutions. You will work with product managers, engineers, and domain experts to frame problems, prepare data, and deliver models into production workflows.

The role emphasizes applied statistics, Python, SQL, and model explainability, with responsibility for quality and measurable impact.

Qualifications

• 4-5 years of professional data science or ML experience, deployed to production.
• Bachelor's or Master's in a quantitative field.
• Experience delivering ML solutions beyond exploratory prototypes.

Responsibilities

• Frame business problems and prepare data for modeling.
• Develop and evaluate models for forecasting, anomaly detection, and predictive maintenance.
• Collaborate with product, engineering, and domain experts.
• Deploy and monitor models in production with MLOps practices.
• Communicate results to technical and non-technical audiences.

Skills

Python

SQL

Statistics

Machine Learning

Time-series

Model deployment

Git

Cloud platforms

Education

Bachelor's or Master's in CS/Stats/Data Science

Tools

Pandas

NumPy

scikit-learn

XGBoost

PyTorch

TensorFlow

Git

Databricks

Job description

Siemens, a leader in asset management, seeks a hands-on Data Scientist to translate asset and operational data into production-ready analytics and ML solutions. You will work with product managers, engineers, and domain experts to frame problems, prepare data, and deliver models into production workflows.

The role emphasizes applied statistics, Python, SQL, and model explainability, with responsibility for quality and measurable impact.