Do you want to bring geospatial data science and machine learning into the hands of data scientists worldwide? Are you passionate about building APIs? If yes, join us, as we are doing the same!
We are looking for someone with hands-on experience with statistical analysis, machine learning, predictive analytics, and software engineering to apply a wide variety of analytical and predictive modelling techniques using popular machine learning libraries in combination with ArcGIS API for Python.
The team is comprised of driven and passionate data scientists/programmers integrating machine learning capabilities into the ArcGIS API for Python, which is quickly becoming the Python library of choice for spatial analysis, mapping, and Geo-AI! You will be responsible for not only designing and developing an API in Python, but developing on top of successful open source projects such as pandas and Jupyter Notebooks, using cutting-edge ML and DL libraries such as scikit-learn, TensorFlow, and PyTorch.
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you need a reasonable accommodation for any part of the employment process, please email firstname.lastname@example.org and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.