|Published||May 12, 2023|
|Location||San Francisco, United States of America|
NOTE: THIS ROLE IS BASED IN THE SAN FRANCISCO BAY AREA. THIS INTERNSHIP IS EXPECTED TO BE HYBRID WORK (REMOTE + ONSITE).
The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as marketing attribution, investment ROI, seller value, product behavior, and funnel performance. The team achieves this by building remarkable data infrastructure, analytics, data science, and machine learning solutions. The Measurement Machine Learning team within Decision Science plays an essential role in building best-in-class ML models and algorithms to inform strategic investment decisions with measurement.
In this role you'll build machine learning models to forecast merchants’ revenues especially at an early stage. You will experiment with state-of-the-art algorithms to improve the prediction accuracies and use any and every dataset at your disposal (including 3rd party data) to engineer new features for the model.
- Research and implement cutting-edge algorithms on revenue forecastings, especially improving early stage forecasting performance.
- Familiar with Time Series model, especially deep learning for Time Series.
We value general engineering skills and versatility over existing domain knowledge, but here’s a sample of what we currently use:
- Python, Java
- Tensorflow and PyTorch
- AWS, GCP
- SQL, Tableau & Mode