Job Opportunities API

Required Skills • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions. • Expertise in statistical modeling, machine learning, and predictive analytics. • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques. • Strong expertise in geospatial analytics and LiDAR data processing. • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. • Experience working with vector, raster, point-cloud, and sensor datasets. • Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities • Design and develop advanced machine learning and statistical models to solve complex business problems. • Build predictive models, time-series forecasting solutions, and causal inference frameworks. • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets. • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries. • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights. • Partner with business stakeholders to scope, design, and deliver data science solutions. • Present analytical findings and recommendations to technical and business audiences. • Optimize model performance, scalability, and deployment in production environments. • Mentor data scientists and promote best practices in analytics and machine learning. • Support innovation initiatives through advanced analytics and AI-driven solutions.