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# Data Scientist

- **Company:** American IT Systems
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Github, Cloud Platform System, Software Version Control, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/d9074859-87bb-464b-a505-9b0a8dacb1cd

## About the Role

We are seeking a highly skilled Data Scientist with a strong academic foundation in Statistics and extensive hands-on experience in working with complex datasets. The ideal candidate will possess the ability to explore data with a clear project goal in mind, utilizing advanced statistical and econometric models to derive actionable insights. This role requires a proactive individual who can work independently and effectively in a cloud based (Azure) environment., * Strong academic background in Statistics

 * Proven experience working with complex and messy datasets with minimal direction.
 * Expertise in advanced statistical and econometric models, including constrained hierarchical GLMs, Bayesian hierarchical models, and constrained random coefficient models.
 * Experience with large scale datasets in cloud-based environments (e.g., Databricks).
 * Familiarity with code version control systems (e.g., GitHub).

Preferred Skills:

 * Experience in a business environment where data driven decision making is critical.
 * Strong problem-solving skills and the ability to work independently.
 * Excellent communication skills, both verbal and written.
 * Ability to work collaboratively in a team-oriented environment., * Master s degree or higher in Statistics, Data Science, Mathematics, or a related field.
 * 10 15 years of relevant experience in data science or a related field.
 * Demonstrated ability to work with large datasets and complex statistical models.
 * Proven track record of delivering actionable insights from data analysis.

## Description

* Analyze complex datasets to address specific business questions, such as the impact of pricing on volume demand while considering availability constraints.
 * Develop and implement advanced statistical and econometric models, including constrained hierarchical GLMs, Bayesian hierarchical models, and constrained random coefficient models.
 * Collaborate with cross functional teams to understand data requirements and deliver insights that drive business decisions.
 * Utilize cloud-based platforms (e.g., Databricks) to manage and analyze large scale datasets efficiently.
 * Maintain code version control using systems like GitHub to ensure collaborative development and faster onboarding of new team members.
 * Communicate findings and recommendations to stakeholders in a clear and concise manner.
 * Stay updated with the latest trends and advancements in data science and statistical modeling.


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