Our Client is seeking an Applied Data Science & Visualization Principal to serve as a technical leader responsible for designing and delivering advanced analytics, geospatial intelligence, machine learning solutions, and interactive data visualizations. This individual will help transform complex data into actionable insights while partnering with engineering, infrastructure, transportation, aviation, and operations stakeholders. Summary: This role combines hands-on data science, visualization, and geospatial analytics expertise with the ability to influence strategy, develop innovative solutions, and support client-facing initiatives.
Responsibilities:
- Design and develop scalable data pipelines integrating structured, unstructured, geospatial, and real-time data sources
- Build and deploy predictive models, machine learning solutions, forecasting models, and advanced analytics tools
- Create executive dashboards, geospatial visualizations, and data-driven decision support solutions using Power BI, Tableau, Plotly, and related tools
- Perform statistical analysis, feature engineering, exploratory data analysis, and model validation
- Develop geospatial analytics solutions utilizing GIS technologies and spatial datasets
- Establish best practices for data science, visualization, governance, model lifecycle management, and responsible AI
- Collaborate with engineers, business leaders, and technical teams to identify opportunities for scalable digital solutions
- Translate complex analytical findings into clear recommendations for technical and non-technical audiences
- Support innovation initiatives that move from concept through implementation and production deployment
Requirements
- Master’s degree in Data Science, Computer Science, Statistics, Geospatial Science, Applied Mathematics, or related field – or Bachelor’s degree with equivalent experience
- 10+ years of experience in Data Science, Machine Learning, Analytics Engineering, or Advanced Analytics
- Expert-level Python and SQL skills
- Strong experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies
- Advanced data visualization experience using Power BI, Tableau, Plotly, Dash, or related tools
- Experience building production-ready data pipelines and cloud-based analytics solutions
- Strong understanding of statistical modeling, forecasting, predictive analytics, and feature engineering
- Exceptional communication skills with the ability to present technical concepts to non-technical stakeholders
- Visa sponsorship is not available for this position
Preferred Qualifications:
- Experience with GIS, spatial analytics, remote sensing, or geospatial data platforms
- Familiarity with ArcGIS, PostGIS, GeoPandas, GDAL, LiDAR, or related technologies
- Experience in transportation, aviation, infrastructure, utilities, engineering, or construction environments
- Experience with MLOps, CI/CD, model monitoring, and cloud platforms such as Azure, AWS, or GCP
- Exposure to digital twins, operational analytics, and intelligent infrastructure solutions
Required Skills:
- Python
- SQL
- Machine Learning
- Predictive Analytics
- Data Visualization
- Power BI and/or Tableau
- Statistical Modeling
- Data Pipelines
- Cloud Analytics Platforms
- Stakeholder Communication
Nice to Have:
- GIS/Geospatial Analytics
- ArcGIS
- PostGIS
- LiDAR
- Databricks
- MLOps
- Digital Twins
- Infrastructure Analytics
- Transportation or Aviation Experience
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