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In general what you’re looking for just doesn’t exist. In niche cases it might, and your best bet would be government / military / academic research labs. Those
by mlthoughts2018 6y ago
In general what you’re looking for just doesn’t exist. In niche cases it might, and your best bet would be government / military / academic research labs. Those jobs pay comparatively worse but usually have much better work/life balance & job security and enable you to focus on specializations.
In industry, you just won’t find this. Statistics is a small domain specialist component of a much larger software ecosystem. You don’t require advanced statistics, you just might want to try it or derive a special benefit from it, and none of that will be worth it unless it efficiently connects to the regular software development life cycle, architecture patterns, testing, and maintenance processes that the larger system requires.
Someone who can do “a little software development” would be a liability in that scenario, no matter what their other domain specializations are.
That’s why you’ll find most data scientists and ML engineers professionally are highly skilled at software engineering. They approach statistical modeling tasks from the point of view of standard software development life cycle tasks where the components just happen to involve statistical models or techniques.
- MacsHeadroom 6y agoQuants are statisticians who know a bit of software development. They're always in high demand and get paid more than SWEs on average. https://www.linkedin.com/jobs/quantitative-analyst-jobs https://www.linkedin.com/jobs/quantitative-analyst-jobs
- mlthoughts2018 6y agoI worked as a quant for several years at the start of my career. Being a quant is 95% software architecture and engineering and 5% stats / SQL / spreadsheets and analytics.