National Association of Realtors | Chicago or Washington DC - ONSITE | Data Analyst | Full Time
We want Python + Pandas, SQL, statistics, data visualization and some AI; the usual data science stack. Job is in-depth data analysis across multiple data sets - the challenges change weekly. We're using Cursor for data science and AI is permeating all our analysis work - we're transforming from traditional data science to being AI-forward.
Data analyst | Chicago, IL or Washington DC only| No visa sponsorship
National Association of Realtors is hiring a data analyst to work with customer data and to work on AI-enabled projects. We're looking for Python and SQL with some stats.
Do you have a contact email in order to get more information on this opening? I'd be interested to apply as it pertains to the DC area location. Thanks
Do you know if anyone has looked at what kinds of task lists are better handled by Ralph versus giving the LLM the list and asking it to implement everything in one session/prompt? In other words, how do you recognize when Ralph is the right approach?
I ask because I've tinkered with some Ralph loops and found I can achieve similar results by handing Claude (Opus 4.6, 1M context) a PLAN.md file with a long checklist of tasks and telling it to sequentially complete them.
I don't seem to have the problems that Ralph solves. But like any tool, it would be good to have a mental model for when to reach for Ralph in the future should a need arise.
Some thoughts on the novel: its strengths and weaknesses, why it's so different from other first contact novels. I'd love to hear people's views of the novel.
Like the other poster wrote, interesting mystery/plot, poor characterization shared with all of his work I have read - one thing that sticks out was the overly long bit about the man’s fascination with his female partner’s breasts in zero gravity could be taken as weird.
New trains for Amtrak in the US. Better than before, but still a long way behind the best in Europe and Asia. The manufacturing process seems crazily manual.
We want Python + Pandas, SQL, statistics, data visualization and some AI; the usual data science stack. Job is in-depth data analysis across multiple data sets - the challenges change weekly. We're using Cursor for data science and AI is permeating all our analysis work - we're transforming from traditional data science to being AI-forward.
Job is here: https://realtors.applicantstack.com/x/detail/a2yfvt49zurx
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