We are now advertising for various positions in applied statistics, operations research and applied mathematics.
These jobs are with MAXIMA (the Monash Academy for Cross & Interdisciplinary Mathematical Applications).
Please do not send any questions to me (I won’t answer). Click above and follow the instructions.
Since my last post on the seasonal adjustment problems at the Australian Bureau of Statistics, I’ve been working closely with people within the ABS to help them resolve the problems in time for tomorrow’s release of the October unemployment figures.
Now that the ABS has put out a statement about the problem, I thought it would be useful to explain the underlying methodology for those who are interested. Continue reading →
I do not normally post job adverts, but this was very specifically targeted to “applied time series candidates” so I thought it might be of sufficient interest to readers of this blog. Continue reading →
Although the Guardian claimed yesterday that I had explained “what went wrong” in the July and August unemployment figures, I made no attempt to do so as I had no information about the problems. Instead, I just explained a little about the purpose of seasonal adjustment.
However, today I learned a little more about the ABS unemployment data problems, including what may be the explanation for the fluctuations. This explanation was offered by Westpac’s chief economist, Bill Evans (see here for a video of him explaining the issue). Continue reading →
It’s not every day that seasonal adjustment makes the front page of the newspapers, but it has today with the ABS saying that the recent seasonally adjusted unemployment data would be revised.
I was interviewed about the underlying concepts for the Guardian in this piece.
Further comment from me about users paying for the ABS data is here.
I keep telling students that there are lots of jobs in data science (including statistics), and they often tell me they can’t find them advertised. As usual, you do have to do some networking, and one of the best ways of doing it is via a Data Science Meetup. Many cities now have them including Melbourne, Sydney, London, etc. It is the perfect opportunity to meet with local employers, many of which are hiring due to the huge expansion in the use of data analysis in business (aka business analytics).
At the end of each Melbourne meetup, some employers have been advertising their current analytic job openings to the audience.
Now the local organizers are going to extend the opportunity to allow job-searchers to give a 90 second pitch to employers. Details are provided on the message board.
I’ve interviewed a few people for jobs at Monash University, and there’s always someone who comes out with something surprising. Here are some real examples. Continue reading →
Some new websites are being established offering “market places” for data science. Two I’ve come across recently are Experfy and SnapAnalytx. Continue reading →
I’ve received a few questions on the business analytics jobs advertised last week. I think it is best if I answer them here so other potential candidates can have the same information. I will add to this post if I receive more questions. Continue reading →
We have an exciting new initiative at Monash University with some new positions in business analytics. This is part of a plan to strengthen our research and teaching in the data science/computational statistics area. We are hoping to make multiple appointments, at junior and senior levels. These are five-year appointments, but we hope that the positions will continue after that if we can secure suitable funding. Continue reading →