Applied Data Scientist — AI Enablement & Internal Solutions

HDR, Inc.; Corpus Christi (TX); On-site; USD 150,000 - 215,000; Full time

Job summary

HDR, Inc. in the United States is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and remove bottlenecks hindering HDR’s ability to scale AI across the Transportation Business Group.

In the initial phase, the role focuses on internal AI work, data/tech foundations, and internal bottlenecks, shifting to client-facing AI delivery as capabilities mature. Responsibilities include designing, deploying, and monitoring AI solutions, building reusable data pipelines,

Qualifications

• A degree in a closely related field or combination of education and relevant experience.
• A minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas.
• A minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib.
• A minimum of 3 years experience with data science languages such as Python and R.
• Self-motivated, detail-oriented professional, ability to multitask a must.
• Proficiency with MS Office including Word and Outlook.
• 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.
• In-depth knowledge of machine learning algorithms, statistical models, and data analytics.
• Experience completing multiple data science projects.

Responsibilities

• Internal AI Capability Development: Design, develop, and deploy AI solutions addressing internal transportation business needs (e.g., document intelligence, predictive analytics, copilots, workflow automation).
• Build reusable AI components, data pipelines, and workflows that can be scaled for future client delivery.
• Manage full model lifecycle including development, deployment, monitoring, drift detection, retraining, and inference.
• Constraint & Bottleneck Identification: Proactively identify limitations in data availability, system integration, tooling, governance, and processes that inhibit AI adoption.
• Partner with IT, data architects, and business stakeholders to recommend scalable improvements.
• Document technical debt and architectural gaps that must be addressed before scaling AI capacity.
• Collaboration & Communication: Collaborate with cross-functional stakeholders to translate ambiguous problems into structured AI solutions.
• Communicate AI concepts clearly to both technical and non-technical audiences.
• Future Client-Facing Work: Support client pursuits and pilot projects using internally developed AI capabilities.
• Contribute to the evolution of repeatable AI services and offerings.

Job description

HDR, Inc. in the United States is seeking an Applied Data Scientist – AI Enablement to build internal AI capabilities and remove bottlenecks hindering HDR’s ability to scale AI across the Transportation Business Group.

In the initial phase, the role focuses on internal AI work, data/tech foundations, and internal bottlenecks, shifting to client-facing AI delivery as capabilities mature. Responsibilities include designing, deploying, and monitoring AI solutions, building reusable data pipelines,