Pros
Above average salary in the industry
Cons
Leaders claim to use analytics to promote member behavior changes for better health. However, they only care about cost savings for the company, sometimes even at the cost of members. Most of the analysis are based on unrealistic assumptions and are done with inrigorous methods. Managers have some ideas about actions member can take for which they believe will bring cost savings for the company. Then data scientist are expected to find evidence from data. If you cannot find it, you are screwed. If you find evidence, even with unsound analysis, you will be promoted. Managers really don't care about the correctness of your methods, as long as your result can help them meet their KPI. So you are encouraged to manipulate data in some ways that will meet the goals instead of respecting the truth. In such an organization, data scientists are really data artists. How can you expect to learn new skills besides ppt ? Leaders always boast their teams bring hundreds of millions savings for the company, and when they find the bubbles are about to burst, they will leave.