Data Scientist II / Data Solutions Developer

As a Data Scientist II / Data Solutions Developer at HDR, you will leverage advanced data analytics and low-code development to modernize business processes, enhance operational efficiency, and deliver automated, insight-driven solutions. 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.

Requirements

• 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

• Medical
• Dental
• Vision
• Short and long-term disability
• Life insurance
• Employee assistance program
• Paid time away
• Parental leave
• Paid holidays
• Retirement savings plan with employer match
• Employee referral bonus
• Tuition reimbursement