Applied Data Science & Visualization Principal

Kforce has a client in Dallas, TX that 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., 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., * 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

• 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 Google Cloud Platform
• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.