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 →
This looks like an interesting job.
Dear Dr. Hyndman,
I write from the Center for Open Science, a non-profit organization based in Charlottesville, Virginia in the United States, which is dedicated to improving the alignment between scientific values and scientific practices. We are dedicated to open source and open science.
We are reaching out to you to find out if you know anyone who might be interested in our Statistical and Methodological Consultant position.
The position is a unique opportunity to consult on reproducible best practices in data analysis and research design; the consultant will make shorts visits to provide lectures and training at universities, laboratories, conferences, and through virtual mediums. An especially unique part of the job involves collaborating with the White House’s Office of Science and Technology Policy on matters relating to reproducibility.
If you know someone with substantial training and experience in scientific research, quantitative methods, reproducible research practices, and some programming experience (at least R, ideally Python or Julia) might you please pass this along to them?
Anyone may find out more about the job or apply via our website:
The position is full-time and located at our office in beautiful Charlottesville, VA.
Thanks in advance for your time and help.
We are looking for a new post-doctoral research fellow to work on the project “Macroeconomic Forecasting in a Big Data World”. Details are given at the link below
This is a two year position, funded by the Australian Research Council, and working with me, George Athanasopoulos, Farshid Vahid and Anastasios Panagiotelis. We are looking for someone with a PhD in econometrics, statistics or machine learning, who is well-trained in computationally intensive methods, and who has a background in at least one of time series analysis, macroeconomic modelling, or Bayesian econometrics.
We are currently advertising for three academic positions, suitable for recent PhD graduates.
Lecturer (Applied Statistics or Operations Research)
Lecturer (Econometrics/Business Statistics)
Please don’t send any questions to me. Click the “More information” links and follow the instructions.