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Data Solutions Developer / Data Scientist II
- Washington, Utah, United States
- Washington, Utah, United States
Über
As part of HDR’s Transportation Business Group, you will help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities, and quality of life. Whether you’re modernizing aging infrastructure or pioneering next‑generation transportation solutions, your contributions will help define the future of mobility.
Key Responsibilities Data & Analytics
Analyze complex datasets to identify patterns, trends, and opportunities that improve business decisions.
Develop data products including reports, dashboards, and visualizations to communicate business insights and KPIs.
Perform data acquisition, cleaning, transformation, and exploratory data analysis.
Engineer features and transform raw data into structured attributes for machine learning models.
Build and maintain advanced predictive models (classification, regression, time series, neural networks, NLP, computer vision).
Manage the end‑to‑end model lifecycle: development, deployment, monitoring, drift detection, retraining, and inference.
Tune models and conduct rigorous validation, testing, and quality evaluation.
Apply predictive models to enhance operational and business outcomes.
Automation, Low-Code Development & Process Optimization
Leverage Microsoft Power Platform (Power Apps, Power Automate, Power BI, etc.) to build business applications, automate workflows, and improve operational efficiency.
Optimize business processes by mapping current ("as‑is") and future ("to‑be") workflows and reengineering processes aligned to organizational goals.
Conduct root‑cause analysis to identify process inefficiencies and propose technology‑driven remedies.
Align automation strategies with project objectives and implement scalable automation solutions.
Collaborate on UI/UX design considerations to ensure applications and dashboards are intuitive and user‑friendly.
Develop technical documentation, including SDLC artifacts, workflow diagrams, user guides, and requirements specifications.
Participate in unit testing, quality assurance, and quality control activities to ensure solution reliability.
Systems, Technology & Collaboration
Contribute to system, software, or platform implementation efforts by supporting development, testing, rollout, and user adoption.
Work with IT, Infrastructure Technology, and Operational Technology teams to align analytics and automation capabilities with enterprise systems.
Build dashboards and business intelligence solutions that track project health, KPIs, and performance metrics.
Use collaboration tools (SharePoint, Teams, PowerApps) to support project communication, knowledge management, and version control.
Engage with customers and stakeholders to gather business requirements and deliver a strong customer experience.
Position is based on‑site at a client office in Alexandria, VA.
Preferred Qualifications
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Technology, or a related field
Minimum of 5 years experience strongly preferred
Transit experience preferred
WMATA experience preferred
Preference given to candidates currently located in the area
Required Qualifications
A degree in a closely related field or a combination of education and relevant experience
Minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
Minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
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
Benefits We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, including medical, dental, vision, short‑and long‑term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus, and tuition reimbursement.
We are an affirmative action and equal opportunity employer and consider all qualified applicants, regardless of criminal histories, arrest and conviction records.
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Sprachkenntnisse
- English
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