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DPR Construction · 2 days ago

Sr. Data Scientist

Richmond, VA

Full-time

Onsite

Senior Level

7+ years exp

DPR Construction is a forward-thinking general contractor specializing in complex and sustainable projects. They are seeking a Senior Data Scientist to leverage statistical analysis and machine learning to provide actionable insights that enhance project planning and operational efficiency.

CommercialConstructionIndustrial

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Data analysis and modeling: 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

Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes

Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies

Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance

Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions

Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations

Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes

Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements

Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities

Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations

Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement

Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes

Qualification

Data ScienceMachine LearningCloud PlatformsStatistical AnalysisPythonSQLData VisualizationPredictive ModelingCommunication SkillsCollaborationProblem SolvingContinuous Learning

Required

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

Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact

Ability to operate effectively in a fast-moving, ambiguous environment with limited structure

Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus

Preferred

Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies

Hands-on experience with Generative AI tools and libraries

Background in experimentation infrastructure or human-AI interaction systems

Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments

Company

DPR Construction

Glassdoor4.2

DPR Construction is a national commercial building contractor and construction manager.

Founded in 1990

Redwood City, California, USA

5001-10000 employees

http://www.dpr.com

H1B Sponsorship

DPR Construction has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2022 (2)

2021 (2)

2020 (3)