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# Data Scientist

- **Company:** Intone Networks
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Vision, Computer Simulation, Computer Programming, Data Files, Hyperspectral Imaging, Python (Programming Language), Machine Learning, Standard Sql, Scientific Computating, Uncertainty Quantification (UQ), Model Validation
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist--8e3cadef-88fb-4a77-99a7-ee5578faa419

## About the Role

Data Science, Mathematical Modeling, Mathematics, Data Sets, Machine Learning, Data Analysis, Problem Solving Skills, Performance Metrics, Experiment Design, Model Validation, Required

 * Strong proficiency with Python and SQL
 * Strong foundation in statistics, probability, and applied mathematics
 * Experience developing and validating statistical and machine-learning models
 * Experience working with messy, sparse, imbalanced, or otherwise imperfect real-world datasets
 * Strong understanding of experimental design, model validation, uncertainty quantification, and appropriate performance metrics
 * Ability to translate ambiguous scientific or business problems into testable quantitative approaches
 * Experience working with multiple types of data, such as tabular, time-series, spatial, sensor, spectral, or image data
 * Ability to independently investigate unfamiliar technical problems and determine the appropriate mathematical or statistical methodology
 * Strong programming and general computer science fundamentals
 * Ability to communicate complex technical concepts effectively with both technical and non-technical stakeholders

Preferred

 * Geospatial analysis
 * Environmental or weather data
 * Time-series modeling
 * Computer vision
 * Hyperspectral or spectral data
 * Risk modeling
 * Optimization
 * Scientific computing
 * Production engineering

## Description

This is a contract position for a Data Scientist based remotely in the US, with an expected duration of 6+ months. The role focuses on developing rigorous quantitative solutions to complex scientific and business problems using statistical reasoning, mathematical modeling, and computational methods.

Responsibilities

 * Take ambiguous scientific or business problems and determine the appropriate mathematical or statistical approach
 * Work through imperfect real-world datasets to develop defensible quantitative solutions
 * Develop and validate statistical and machine-learning models with clear understanding of the underlying reasoning and mathematics
 * Assess data sufficiency and appropriateness for problem-solving
 * Validate conclusions, models, and results through rigorous experimental design and appropriate performance metrics
 * Account for uncertainty, limitations, assumptions, and data quality issues in analytical approaches
 * Translate complex technical concepts clearly for both technical and non-technical stakeholders
 * Independently investigate unfamiliar technical problems and select appropriate methodologies