Aceolution
Geographic Information Systems Analyst (Seattle)
Aceolution, Seattle, Washington, United States
Geospatial / Geographic Data Scientist:
No of Years of Experience: 10+ Yrs Experience Band: Level 3 Role type: WFO, Location-Bothell, Seattle Number of Positions: 1 FTE
ONLY GREEN CARD HOLDERS AND US CITIZENS PREFERRED
Preferred Qualifications: Master's degree or further education in Computer Science, Data Science, Statistics, or a related field. Experience with data visualization tools. (Preferably Looker) Knowledge of statistical methods. Experience in a role requiring rigorous data quality analysis and improvement. Familiarity with evaluation frameworks and A/B testing-Mandatory Experience with Google's development tools and infrastructure (e.g., Google3, Blaze, FlumeJava, Borg). Familiarity with geospatial data and concepts (e.g., Map Facts, Feature Protos). Core Roles & Responsibilities: Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. Analyze large amounts of complex data to extract insights and drive decision-making. Design experiments to test hypotheses and measure the effectiveness of solutions. Mapping & Visualization- Creating informative digital maps, dashboards, and reports to communicate complex geographic information. Research & Development- Staying updated on new geospatial tech, improving analysis methods, and potentially developing AI assistants for GIS tasks. Collaboration & Communication- Working with teams, understanding client needs, and presenting findings to support strategic decisions.
No of Years of Experience: 10+ Yrs Experience Band: Level 3 Role type: WFO, Location-Bothell, Seattle Number of Positions: 1 FTE
ONLY GREEN CARD HOLDERS AND US CITIZENS PREFERRED
Preferred Qualifications: Master's degree or further education in Computer Science, Data Science, Statistics, or a related field. Experience with data visualization tools. (Preferably Looker) Knowledge of statistical methods. Experience in a role requiring rigorous data quality analysis and improvement. Familiarity with evaluation frameworks and A/B testing-Mandatory Experience with Google's development tools and infrastructure (e.g., Google3, Blaze, FlumeJava, Borg). Familiarity with geospatial data and concepts (e.g., Map Facts, Feature Protos). Core Roles & Responsibilities: Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. Analyze large amounts of complex data to extract insights and drive decision-making. Design experiments to test hypotheses and measure the effectiveness of solutions. Mapping & Visualization- Creating informative digital maps, dashboards, and reports to communicate complex geographic information. Research & Development- Staying updated on new geospatial tech, improving analysis methods, and potentially developing AI assistants for GIS tasks. Collaboration & Communication- Working with teams, understanding client needs, and presenting findings to support strategic decisions.