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# Data Scientist

- **Company:** Nyla Technology Solutions
- **Location:** United States
- **Experience:** Starter
- **Salary:** $123,000.0 - $146,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Big Data, Computer Programming, Linux, Python (Programming Language), Software Engineering, Modeling and Simulation, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/61506d91-66cd-4974-ae16-6ab7b5b54492/junior-data-scientist

## About the Role

Kickstart your data career by turning complex numbers into actionable insights! If you have 1+ years of experience with R or Python and love using scientific methods to solve real-world problems, this collaborative, fast-paced team is your perfect launchpad. Dive into modeling, simulation, and predictive analysis!

In this role, you will apply scientific methods to solve complex problems, utilizing your skills in mathematics, statistical analysis, and programming to inform both qualitative and quantitative decisions. If you are ready to turn large-scale datasets into actionable mission solutions, let's achieve more together!, * Technical Frameworks: 1+ years of experience in statistics, operations research, or advanced mathematics.

 * Programming Tools: Proven experience with R or Python.
 * Methodological Approach: Experience using scientific methods to drive and inform qualitative and quantitative analyses.
 * Teamwork Agility: Demonstrated ability to work effectively and adapt quickly within a collaborative, fast-paced environment.

Education: Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

, Desired Skills

 * Experience with mathematical optimization, modeling and simulation, prediction, estimation, or decision analysis.
 * Hands-on experience analyzing large-scale datasets and executing end-to-end data pipelines (gathering, cleansing, parsing).
 * Experience developing and deploying custom simulation models to improve workflow efficiencies.
 * Ability to work fluidly across both Windows and Linux operating environments.



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