Principal Data Scientist: Lead ML Systems & Strategy

myBridge Corporation; Montana; On-site; USD 207,000 - 289,000; Full time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

myBridge Corporation is seeking a Principal Data Scientist to lead complex analytical projects, develop advanced machine learning solutions, and establish best practices for data science across the organization. This role blends hands-on technical leadership with collaboration across engineering, product, and business teams.

You will design models, guide end-to-end projects from problem definition to deployment, and mentor data scientists.

Qualifications

• Proven experience designing and deploying ML models end-to-end.
• Expertise with Python, SQL, statistical methods.
• Experience with cloud DS and ML deployment workflows.

Responsibilities

• Design and implement advanced statistical and machine learning models.
• Lead end-to-end data science projects, from problem definition to deployment.
• Develop predictive models, recommendation systems, and optimization solutions.
• Analyze large and complex datasets to identify patterns and business opportunities.
• Partner with data engineering and software engineering teams to operationalize models.
• Evaluate model performance, reliability, fairness, and interpretability.
• Establish reusable analytical frameworks and technical standards.
• Mentor data scientists and review modeling approaches.
• Present technical findings and business recommendations to stakeholders.

Skills

Python

SQL

Statistics

Machine learning

Experimentation

Feature engineering

Model evaluation

MLOps

Cloud deployment

Version control

Technical communication

Research

Education

Master's or PhD in Data Science or related quantitative field

Tools

scikit-learn

PyTorch

TensorFlow

Job description

myBridge Corporation is seeking a Principal Data Scientist to lead complex analytical projects, develop advanced machine learning solutions, and establish best practices for data science across the organization. This role blends hands-on technical leadership with collaboration across engineering, product, and business teams.

You will design models, guide end-to-end projects from problem definition to deployment, and mentor data scientists.