Data Scientist

HDR • Washington, DC

2d • Onsite

About The Position

In this role, you will leverage advanced data analytics and low-code development to modernize business processes, enhance operational efficiency, and deliver automated, insight-driven solutions. As a Data Solutions Developer, you will collaborate closely with stakeholders, translate complex requirements into technical solutions, design predictive models, and build applications and automations that support strategic organizational goals. This role requires strong analytical capability, technical expertise, and the ability to manage sensitive information with professionalism and discretion.

In the role of Data Scientist, we'll count on you to:

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 (EDA).
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 (QA), and Quality Control (QC) 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.

Requirements

• 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
• US citizenship or naturalized citizenship is required.

Nice To Haves

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Technology, or a related field
• A minimum of 5 years experience strongly preferred
• Transit experience preferred
• WMATA experience preferred

Responsibilities

• 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 (EDA).
• 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.
• 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 (QA), and Quality Control (QC) activities to ensure solution reliability.
• 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.

Benefits

• 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.
• foster a culture of inclusion throughout our company and within our communities
• employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world.
• employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
• Eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute.

What This Job Offers

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