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# Data Scientist I

- **Company:** HDR, Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Data Analysis, Microsoft Outlook, Data Transformation, Python (Programming Language), Machine Learning, Microsoft Office, Power BI, Software Tools, SQL Databases, Tableau (Software), Feature Engineering, Powerquery, Pandas, Matplotlib, Plotly
- **Published:** August 19, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88077859/1

## About the Role

Associate or Bachelor's degree, * A degree in a closely related field or combination of education and relevant experience

 * Self-motivated, detail-oriented professional, ability to multitask a must
 * Proficiency with MS Office including Word and Outlook
 * Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
 * Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
 * Proficiency with data science languages such as Python and R
 * Ability to handle confidential information
 * Excellent writing and people skills
 * Strong math and organizational skills
 * Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
 * Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
 * An attitude and commitment to being an active participant of our employee-owned culture is a must, If you are required to drive for us, we require a valid driver's license and compliance with our vehicle policy.

## Description

Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
Develop data products including reports, visualizations, and dashboards
Adhere to software and data science development standards
Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA)
Transform raw data into usable attributes for machine learning modules through feature engineering
Evaluate and execute automated machine learning (AutoML) models
Leverage predictive models to optimize business results


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