Data Scientist I

Fashion Institute of Design & Merchandising; Phoenix (AZ); On-site; USD 85,000 - 110,000; Full time

Job summary

HDR is seeking a Data Scientist I in Phoenix to transform raw data into actionable insights. You will build data products, dashboards, and reports while collaborating with stakeholders to improve business decisions through pattern discovery and advanced analytics.

The role requires proficiency in SQL, Python/R, Power BI/Tableau, and strong communication skills. You will handle sensitive information and contribute to automated ML initiatives in a fast-paced, employee-owned culture.

Qualifications

• 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.

Responsibilities

• Handle highly sensitive and confidential information with professionalism and discretion.
• 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.

Skills

Excellent verbal and written comms

Strong math

Attention to detail

Multitasking

Self-motivated

Team collaboration

Education

Associate or Bachelor’s degree

Tools

SQL

Power Query

Pandas

Power BI

Tableau

Plotly

Seaborn

Matplotlib

MS Office (Word/Outlook)

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?

Watch Our Story: ' https://www.hdrinc.com/our-story

Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.

*Please note - this role is ineligible for employment-based Visa sponsorship*

In the role of Data Scientist I, we'll count on you to:

• Handle highly sensitive and confidential information with professionalism and discretion
• 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

Preferred Qualifications

Associate or Bachelor's degree

Required Qualifications

• 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

What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.

Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.

Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

Primary Location

United States-Arizona-Phoenix

Other Locations

Industry

IT

Schedule

Full-time

Employee Status

Regular

BusinessClass : Marketing and Admin

Job Posting

Aug 18, 2026

At HDR, we are committed to the principles of employment equity.

We are an Aff r.

We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.

We design solutions to the world's greatest challenges.