Data Scientist I

HDR • Omaha, NE

3d

About The Position

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.

Requirements

• 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

Nice To Haves

• Associate or Bachelor's degree

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree