What Kind of Projects I do as a Data Scientist
I often get asked about what I actually do as a Data Scientist and how different it is from working as an Analyst or a Data Engineer. First of all, every company’s JD of a Data Scientist is unique. Some DS jobs require more technical knowledge, some require more analytical skill and so on.
I started in this role as a Senior Analyst for only a couple of months and then later got moved to being a Data Scientist. I guess some companies, including mine are still trying to figure out what the differences are between their teams.
So to explain it better, here are some of the high impact and regular projects that I’m currently working on— without of course, giving away too much information that I’m not legally allowed to disclose.
High Impact: Predicting Product demand to achieve $$mil+ weekly inventory cost reduction
One of the projects I work under this category involves a Machine Learning model for time series forecasting that predicts demand for certain products. On a day to day, this project is heavy on monitoring daily predictions, data engineering pipelines and monitoring actuals. In some cases where weekly targets are not met, root cause analysis may be required and this would involve doing some statistical analysis or forecast…
