AI Enablement Data Scientist — Build Internal AI Solutions

HDR, Inc.

Lexington (KY)

On-site

USD 150,000 - 215,000

Full time

11 days ago

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Job summary

HDR, Inc. is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and scale AI across HDR’s Transportation Business Group. The role starts with internal solutions, data foundations, and bottleneck removal, then increasingly delivers client-facing AI services using proven, reusable capabilities.

You will work with cross-functional teams to translate ambiguous problems into structured AI solutions, and contribute to ongoing learning and capability maturation.

Qualifications

  • Bachelor’s degree in a closely related field or equivalent combination of education and experience.
  • 3+ years with data engineering tools and languages such as SQL, Power Query, and Pandas.
  • 3+ years with BI tools including Power BI, Tableau, Plotly, Seaborn, and Matplotlib.
  • 3+ years with Python and R for data science and analytics.
  • Strong communication, organizational skills, and ability to manage multiple tasks.

Responsibilities

  • Internal AI capability development including design, deployment, and monitoring of AI solutions.
  • Identify data, system, and process bottlenecks to enable AI scale across the organization.
  • Collaborate with IT and stakeholders to implement scalable improvements.
  • Transition to client-facing AI delivery and advisory work as capabilities mature.

Skills

Python
R
SQL
Pandas
Power BI
Tableau
Plotly
Seaborn

Education

Bachelor's degree in related field
Advanced degree

Tools

Cloud Platforms (Azure/AWS/GCP)
Git

Job description

HDR, Inc. is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and scale AI across HDR’s Transportation Business Group. The role starts with internal solutions, data foundations, and bottleneck removal, then increasingly delivers client-facing AI services using proven, reusable capabilities.

You will work with cross-functional teams to translate ambiguous problems into structured AI solutions, and contribute to ongoing learning and capability maturation.

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