Data Science: machine learning skills around forecasting, time series analysis, language processing and customer segmentation as well as model tuning
ML Pipeline, data modeling
Strong programming skills (Python, R, SQL)
Plusses
Neural Network modelling experience
Azure with Databricks- loud based analytics
OCR experience
Recommender system experience
Creative thinking
pyspark
Day-to-Day
This team works with various parts of the organization and SMEs that have data science knowledge and data scientists to collaborate with this person and also be able to synthesize the info the SMEs will be providing them.
Give them a problem statement and have them apply their analytic skills to help solve this problem.
They’ll have support from SMEs and Analysts to solve these problems.
They have identifiers for entities that they have for customers and if they bring in external entities they need to match that with the common identifier to build a model to confirm the entity.
NLP side: NLP problem resolution, not being able to match entities, need to match the entities to the text.
Build forecasting models so accurately predict what the sales will be (time series related) any work they’ve done around time series/advanced time series forecasting
Segmentation: that problem statement is around a massive customer base with a wide range of attributes and segment the customer work done differently with different attributes and test the segmentation that has been done