Data Scientist - Visualization (Power BI)

Location: Remote (Must be able to work EST hours)
Employment Type: 6 Months
Interview Process: Immediate interviews available

We are seeking an experienced Data Scientist – Visualization with strong expertise in Power BI to join a growing analytics and data science team. The ideal candidate will have a proven background in data science, advanced analytics, machine learning, data visualization, and scalable data pipeline development. This role requires a combination of technical expertise, business acumen, and the ability to transform complex data into actionable insights for both technical and non-technical stakeholders.

Power BI expertise is required. Experience with Power Apps is a plus.

• Design, build, and maintain scalable and reusable data pipelines that integrate structured, unstructured, geospatial, LiDAR, and real-time data from multiple sources.
• Develop and deploy advanced analytical, statistical, and predictive models including machine learning, time-series forecasting, causal inference, and geospatial analytics.
• Create and operationalize interactive dashboards, visualizations, and analytical interfaces using Power BI and other visualization platforms.
• Translate complex analytical findings into meaningful business insights and recommendations.
• Lead the development of innovative data-driven products and solutions by collaborating with business stakeholders and technical teams.
• Perform exploratory data analysis, feature engineering, model development, validation, deployment, and monitoring.
• Build and optimize data transformation workflows supporting digital delivery and operational programs.
• Establish and promote best practices in data science, analytics, visualization, model governance, and responsible AI.
• Drive knowledge sharing and technical leadership across teams and business units.
• Collaborate with clients and internal stakeholders to define requirements, scope projects, and deliver impactful analytical solutions.

• Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Geography, or a related quantitative field with 5 years of experience; OR
• Bachelor’s degree with 10 years of relevant experience.

• 10 years of hands-on experience in data science, analytics engineering, machine learning, and advanced analytics.
• 5 years of client-facing consulting or solution delivery experience.
• Proven experience delivering analytics solutions from concept through production deployment.

• Strong expertise in Power BI for dashboard development, visualization, reporting, and data storytelling.
• Experience with Power Apps is preferred.
• Advanced Python programming experience using Pandas, NumPy, SciPy, Polars, and related libraries.
• Strong SQL and data modeling expertise.
• Experience with R programming.
• Deep knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and Statsmodels.
• Experience with time-series forecasting, predictive analytics, feature engineering, and statistical modeling.
• Strong geospatial analytics experience using ArcGIS, GeoPandas, PostGIS, GDAL/OGR, PDAL, or similar technologies.
• Experience building and deploying solutions on Azure, AWS, or GCP.
• Knowledge of MLOps practices including CI/CD, containerization, model monitoring, experiment tracking, and deployment automation.
• Experience with Tableau, Plotly/Dash, or other visualization platforms is a plus.

• Experience within transportation, aviation, construction, engineering, infrastructure, or facilities operations.
• Exposure to BIM, VDC, digital twins, IoT, telemetry, or operational technology systems.
• Experience working with LiDAR, imagery, sensor data, and geospatial datasets.
• Familiarity with foundation models, multimodal AI, and advanced analytics applications.
• Experience with product incubation, innovation initiatives, or startup methodologies.
• Strong understanding of responsible AI, model explainability, governance, and regulatory compliance.

• Exceptional analytical and problem-solving abilities.
• Strong communication and presentation skills.
• Ability to explain complex technical concepts to business stakeholders.
• Leadership mindset with experience mentoring teams and driving best practices.
• Self-starter capable of working independently in a fast-paced environment.