AI Enablement Data Scientist — Internal Solutions

HDR, Inc.

Virginia Beach (VA)

On-site

USD 150,000 - 215,000

Full time

11 days ago

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Benefits offered by this job

Employee ownership
Comprehensive benefits (medical,Dental
Paid time away and retirement plan

Job summary

HDR, Inc. is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and streamline data foundations within the Transportation Business Group.

The role begins with internal development, addressing bottlenecks in systems, data, and tooling, then expands to client-facing AI delivery as capabilities mature. The position emphasizes collaboration across IT, data architects, and business stakeholders, with ongoing learning and a path toward scalable, repeatable AI services

Qualifications

  • 3+ years with data engineering tools (SQL, Power Query, Pandas).
  • 3+ years with BI tools (Power BI, Tableau, Plotly, Seaborn, Matplotlib).
  • 3+ years with Python and R for data science.
  • Strong writing and communication; proactive multitasking.

Responsibilities

  • Design, develop, deploy AI solutions and improve data foundations.
  • Build reusable AI components, data pipelines, and scalable workflows.
  • Manage full model lifecycle: development, deployment, monitoring, retraining.
  • Collaborate with IT and stakeholders to scale AI capabilities.
  • Support client pursuits and evolve repeatable AI services.

Skills

SQL
Power Query
Pandas
Power BI
Tableau
Plotly
Seaborn
Matplotlib
Python
R
Communication
Analytics

Education

Bachelor’s degree
Advanced degree

Tools

Azure
AWS
GCP
Cloud-native data pipelines
Model deployment

Job description

HDR, Inc. is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and streamline data foundations within the Transportation Business Group.

The role begins with internal development, addressing bottlenecks in systems, data, and tooling, then expands to client-facing AI delivery as capabilities mature. The position emphasizes collaboration across IT, data architects, and business stakeholders, with ongoing learning and a path toward scalable, repeatable AI services

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