Product Engineer – Spatial Analysis and Data Science

Key Skills

Java Programming, Python Programming, SQL, NumPy, PyTorch, SciPy, TensorFlow, ArcGIS, GIS, R Programming, SPARK Programming

Job Description

Do you have a passion for finding underlying patterns and helping people make data-driven decisions? Do you want to join an awesome team that is building tools used everywhere from social justice to disease prevention? Become a key member of the statistical analysis development team and help us create the tools that enable organizations to make better decisions using Esri software. We’re looking for a passionate, experienced individual to help us improve and expand our capabilities in spatial statistics, machine learning, and spatial data science.

Responsibilities

• Research cutting-edge methods and applications in the field of spatial and spatiotemporal statistics and spatial data science
• Design, test, and document new analytical tools and the effective visualizations and outputs of those tools
• Evangelize spatial data science through various venues such as user documentation, educational materials, conferences, workshops, and online content
• Create and ship quality software by working effectively in an agile, highly interactive, and creative team environment

Requirements

• Working experience in geostatistics, spatial statistics, or other statistical fields involving spatially and temporally autocorrelated datasets
• Experience in data mining, machine learning, time-series analysis, or similar analytical disciplines
• 2+ years of experience with R and Python (special consideration for experience with pandas, NumPy, and SciPy and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch)
• Experience with distributed computing, including frameworks such as Spark
• Excellent written and verbal communication skills
• Master’s or Ph.D. in geography, statistics, econometrics, computer science or related field, depending on position level

Recommended Qualifications

• Ability to communicate complex concepts effectively, making spatial data science accessible and even fun
• Passion for storytelling using data visualization
• Familiarity with Esri GIS products
• Knowledge of or experience developing models or scripts in ArcGIS