We are a climate-tech startup trying to slow down the rate of increasing temperature of this planet by giving access to carbon credit markets to everyone. Led by seasoned professionals with start-up, tech, management consulting, investment banking, environmental law and climate sustainability backgrounds, the team provides a great learning environment that strives for growth.
We are seeking an experienced Data Scientist with a background in Visual Computation and GIS to join our team. The ideal candidate will have a passion for working with spatial data and the ability to develop and implement innovative visualizations and analytics to support decision making.
Work with large and complex data sets, develop models, algorithms and analysis methods to extract insights and drive business decisions
Use GIS tools and techniques to perform geospatial data analysis and visualization
Design and implement interactive visualizations and dashboards to communicate complex data insights to stakeholders
Collaborate with cross-functional teams to identify data requirements and build data pipelines to collect and process data
Continuously evaluate and improve the quality of data used for analysis and modeling
Preferred Qualifications :
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Master's degree or PhD preferred.
Minimum of 5 years of experience in data science, with a focus on visual computation and GIS
Strong programming skills in Python and experience with relevant libraries such as Pandas, NumPy, Matplotlib, Seaborn, etc.
Experience with geospatial data analysis and visualization tools, such as ArcGIS, QGIS, Mapbox, or Leaflet
Proficient in SQL and experience working with databases, such as PostgreSQL, Oracle, or MySQL
Experience with machine learning techniques and tools, such as scikit-learn, TensorFlow, or Keras
Excellent analytical and problem-solving skills
Strong communication skills and ability to collaborate effectively with cross-functional teams.