Applied Scientist: ML, Statistics & Data Modeling

Great Value Hiring; United States; On-site; USD 338,000 - 386,000; Full time

Job summary

Great Value Hiring is seeking an Applied Scientist to design and execute statistical analyses on complex datasets and build ML models that drive business objectives. You will work closely with stakeholders to define experimentation frameworks and ensure results are reproducible and well-documented.

The ideal candidate has strong Python experience (Pandas, scikit-learn), a solid background in statistics or applied mathematics, and excellent communication skills to present findings and

Qualifications

• Experience designing and executing statistical analyses on complex datasets.
• Developing and validating ML models for business or research goals.
• Proficiency with Python, Pandas, and data transformations.
• Excellent written and verbal communication; clear technical docs.
• Experience collaborating on cross-functional data science projects.

Responsibilities

• Design and execute statistical analyses to uncover actionable insights.
• Develop and validate ML models for various objectives.
• Collaborate with stakeholders to define experimentation frameworks.
• Document methodology, findings, and recommendations clearly.
• Deliver reproducible code and well-organized analytical reports.

Skills

Statistical analysis

Machine learning

Experiment design

Data modeling

Communication

Education

Advanced degree in data science or statistics

Tools

Python

Pandas

scikit-learn

Job description

Great Value Hiring is seeking an Applied Scientist to design and execute statistical analyses on complex datasets and build ML models that drive business objectives. You will work closely with stakeholders to define experimentation frameworks and ensure results are reproducible and well-documented.

The ideal candidate has strong Python experience (Pandas, scikit-learn), a solid background in statistics or applied mathematics, and excellent communication skills to present findings and