Tagcor

Data Scientist

1. Develop, implement, and maintain robust data pipelines and data architecture using Data Bricks and Python.

2. Perform complex statistical analyses and create predictive models to provide insights that impact strategic decisions.

3. Conduct exploratory data analysis from complex, disparate data sources to recognize patterns, and identify member behavior trends.

4. Collaborate with cross-functional teams to implement models and monitor outcomes.

5. Develop processes and tools to monitor and analyze model performance and data accuracy.

6. Use predictive modeling to increase and optimize Remote Assessment use cases.

7. Communicate data-driven insights and recommendations to stakeholders.

Needs someone to come in to perform true Data Science – not just machine learning

PhD or Masters degree in Data Science (could also be Engineering, Physics – any STEM related field)

Has worked in Azure and Data Bricks

Needs professional experience – not working in their own world/certifications/etc

Understands Python scripting, how to create a model based on first principles (not AI model)

What is the problem they are trying to solve? Code that up and get it working

Some dev skills/understanding

Proactive – doesn’t need budging or pushing from managers. Doesn’t need manager oversight

Tools they use (good to have these tools or similar but not 100% required)

They use GeoPandas, MapPlotLiv, SyPi, KnownPi

Geospactial, data mapping

SQL – good to be fluent in it but doesn’t need to be a database expert

Share ERD to show relationships between tables, windows functions and how they’ve been used

One pain point – verification and validation in what they are doing

Understand these differences

Show they can perform verification as they build out and then validate it

Needs someone who can think beyond the world of machine learning