Sr Manager Data
About the role
- (Concepts & Tools):Python – breadth and depth...they are open to the candidates using the tools they like and are used to. Some examples of what you'll see are PySpark, GeoPandas, NumPy, Jupyter Notebook, Matplotlib, Seaborn, Bokeh, pygal, Plotly, geoplotlib, Gleam, missingno, or Leather
- Logit modeling experience
- Test designs
- Unsupervised or semi-supervised
- Types of data – bringing in data from multiple sources which include claims, plan benefits, engagement in ancillary benefits, calls data, touchpoint data
- Big data experience – needs to know how to connect it rather than build pipelines
- NLP – also looking to get into NPS (KMI Surveys)
- Azure – might move from onprem to cloud in about a year
- Random forest - modeling tech??
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
