Geospatial Data Scientist
Summary
I am a geospatial machine learning professional who is passionate to bring together AI and earth observation data to make the world more sustainable and safe. I bring 6+ years of experience developing applications and analytics pipelines in Python using data science packages like Dask, Pandas, Numpy, scikit-learn, Keras and PyTorch, working with a variety of cloud and relational database platforms, as well as workflow orchestration with Airflow, Kubeflow, and Docker. I also bring 10 years of experience in business analytics developing dashboards that derive value insights for executive leadership and external stakeholders.
Expectations
Collaborative team environment, transparency from leadership with organizational mission and goals, fully remote or hybrid work, career growth opportunities in geospatial data science, ideally within the climate technology sector.
Employment Preferences
Expected Base Salary
**0,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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