Xpanse Data is a startup that builds data science tools for investors. We are looking for individuals with experience building forecasting models, particularly for time-series datasets. We are seeking a long-term partnership, and successful collaboration on this project could lead to more projects in the future. Please note that the developed model will be our company's Intellectual Property and cannot be shared publicly.
This project entails developing a Python script to predict quarterly revenue growth for a variety of stocks using a dataset compiled from the FRED database. You'll receive a pre-configured Jupyter Notebook to load all the necessary data for this project. We are setting a time cap for this project at 8 hours.
Applicants should have 3+ years of experience building ML models in python. Applicants should expect to do a virtual interview.
This job is already closed and no longer accepting applicants, sorry.
