DPR Construction

Senior Data Scientist

DPR Construction

full-time

Posted on:

Location Type: Office

Location: Raleigh-Durham • Florida, North Carolina, Texas, Virginia • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance.
  • Build predictive and statistical models to forecast demand, capacity, and potential issues.
  • Build, test, and deploy machine learning and AI models to improve operational processes.
  • Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies.
  • Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance.
  • Create predictive models to forecast outcomes, such as demand, and inform strategic decisions.
  • Present findings and recommendations to stakeholders through reports, visualizations, and presentations.
  • Build and maintain reliable, scalable, and efficient data science systems and processes.
  • Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements.
  • Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities.
  • Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement.
  • Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 7+ years of experience in data science roles within AEC, product or technology organizations.
  • At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management.
  • Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers).
  • Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau).
  • Solid understanding of statistical methods, predictive modeling, and optimization techniques.
  • Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
  • Proven experience designing and interpreting experiments and making statistically sound recommendations.
  • Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.
  • Ability to build relationships with diverse stakeholders and cultivate strong partnerships.
  • Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus.
Benefits
  • Health insurance
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysispredictive modelingmachine learningstatistical modelingdata visualizationSQLPythonRstatistical methodsoptimization techniques
Soft skills
strategic mindsetimpact-driven mindsetrelationship buildingstakeholder engagementcommunicationcollaborationproblem solvinganalytical thinkingpresentation skillscontinuous improvement