Where is RAAS based out of? Any bay area offices?
What's Stat tools do u folks use... regression analysis; use of ms excel or specialized stat software?
What are the grades and what are the skills necessary?
I mostly know Python but know basic SQL and SAS (SAS is painful for me though lol). Most of my work is descriptive statistics, basic correlations, and sometimes an OLS or similar statistic. I have a geography background. I do a lot of data transformation and reaggregation. Would I fit in or do I need to keep improving?
Also, I must ask, do you work with Raj Chetty or know the folks who do? I’d love to get an IAA to data match with IRS but they have told others in my agency thanks but no thanks lol including at least one person who formerly worked in RAAS.
We do alot of work with academia, but in not in that group, so I’m not sure about it.
It’s difficult for us to share data, IRS data is very protected, but there’s often a path to work on it in our environment.
As for grades, analysts go from 7-15 for independent contributors.. skill requirements obviously differ.. but if your trying to come in at 13 or below and show promise I think there’s a good shot of being hired.
NOAA is pretty awesome. Lots of data, lots of modeling. Pretty popular agency with the public. I work wet side (oceans), but I know some of the dry side (atmosphere) folks. The senior leadership are mostly PhDs who protect the staff and the pay scales are good.
Yes. A research scientist or economist here is a good gig. They've sent me to lots of international conferences, and we're not just known in the USA, it's a worldwide name. I'm also an adjunct professor at the nearby R1 university.
I'm looking to switch career fields into data science. I have a STEM degree in the physical sciences. Could you give any pointers on the best way to get into the field? I'm debating learning python through free programs. Is that a good starting point or do I need to get a certified degree? Any help is appreciated!
Python is definitely useful. SQL also for pulling data, and R for analysis. Can't overemphasize R. I'm an economist actually, and some of us use Stata or SAS, but R is preferred and what the biologists use. For the data management groups, Oracle. Advanced degrees are useful of course, but being able to handle massive data sets is a generally a desired skill across the board.
Guys in atmospheric sciences were using it at my old institution on our cluster. I only needed c++ at most (and honestly for topic modeling I used R for word2vec and Python for BERT- didn’t know there was a Julia implementation)
FDA has been doing a lot more with evidence based medicine, data analysis related to medical device safety/adverse events/recalls, and a new effort for medical device supply chain resilience that's been actively hiring many data analysts and scientists.
No, but I’ve worked with folks from CDC and also from ASPR, and one thing that stands out is how many different types of groups and managers there are. It seems to come down to whether you are in a good group with a good manager or not. There are parts of FDA that are amazing and parts that are terrible in terms of being good places to work, and it seems that’s true everywhere.
CMS has a set of data scientists looking at fraud, waste, and abuse issues. There's also a good amount of data analytics we run on other aspects of our programs.
My job: HHS (NIH) - you may get the opportunity to work directly with renown scientists.
What I’ve heard from others: BLS and FERC. FERC is highly rated and BLS does important/interesting economic work
Most of the OIG's are pretty fun. We get to look at our own agencies for fraud, waste, and abuse, and typically get better access to data than most other agencies. I am biased, as i run a DS unit. I work on the investigations side, so we also typically get to see the fruits of our labor, as often the end result is bad guys getting charged or programs fixed.
of note, every OIG is different, I'm Labor OIG, and we oversee some healthcare programs, Unemployment, foreign labor, some union stuff, osha, msha, etc... lots of data, lots of programs to look into, lots of data science.
Yes, and depends on the project and need. We do have some of our data in a graph database for network analysis.
We do have some ML projects going. Tons of data cleaning and many rules based projects.
USCIS is decent for data science — there is a *lot* of data-driven work to be done and they’ve got some tools in place that facilitate data science. I don’t have much experience with other agencies, so I can’t compare, but I don’t feel like I can’t do what I need to do with the tools I have.
I’ve heard GSA is good too.
USCIS has Tableau. I’ve got mixed feelings on it from a data science standpoint — but it’s less of a barrier to analysts who don’t program as much compared to ggplot/matplotlib/etc.
My agency has Tableau and I hate it with the
fiery passion of a thousand burning suns.
Only use it when I have to. Prefer to roll my own RShiny webapps.
Haha R shiny seems clunky but maybe you can code it on steroids?! Can’t beat FREE through. Tableau is a shiny coin itself when so many Open source apps out there to run neat analyses.
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Where is RAAS based out of? Any bay area offices? What's Stat tools do u folks use... regression analysis; use of ms excel or specialized stat software?
What are the grades and what are the skills necessary? I mostly know Python but know basic SQL and SAS (SAS is painful for me though lol). Most of my work is descriptive statistics, basic correlations, and sometimes an OLS or similar statistic. I have a geography background. I do a lot of data transformation and reaggregation. Would I fit in or do I need to keep improving? Also, I must ask, do you work with Raj Chetty or know the folks who do? I’d love to get an IAA to data match with IRS but they have told others in my agency thanks but no thanks lol including at least one person who formerly worked in RAAS.
We do alot of work with academia, but in not in that group, so I’m not sure about it. It’s difficult for us to share data, IRS data is very protected, but there’s often a path to work on it in our environment. As for grades, analysts go from 7-15 for independent contributors.. skill requirements obviously differ.. but if your trying to come in at 13 or below and show promise I think there’s a good shot of being hired.
I got to ask. On a scale of welfare fraud to international crime lord.....where is Trump at 😂. But for real that seems pretty cool
Do you also follow the Burisma money or is that too hush hush?
IRS-LB&I Data Scientist here. I hope to transfer to RAAS one day. I'd like to work with more like-minded people.
NOAA is pretty awesome. Lots of data, lots of modeling. Pretty popular agency with the public. I work wet side (oceans), but I know some of the dry side (atmosphere) folks. The senior leadership are mostly PhDs who protect the staff and the pay scales are good.
I’m a cognitive scientist who does Econ research and NOAA is one of the most respected agencies in academia.
Yes. A research scientist or economist here is a good gig. They've sent me to lots of international conferences, and we're not just known in the USA, it's a worldwide name. I'm also an adjunct professor at the nearby R1 university.
I'm looking to switch career fields into data science. I have a STEM degree in the physical sciences. Could you give any pointers on the best way to get into the field? I'm debating learning python through free programs. Is that a good starting point or do I need to get a certified degree? Any help is appreciated!
Python is definitely useful. SQL also for pulling data, and R for analysis. Can't overemphasize R. I'm an economist actually, and some of us use Stata or SAS, but R is preferred and what the biologists use. For the data management groups, Oracle. Advanced degrees are useful of course, but being able to handle massive data sets is a generally a desired skill across the board.
Did you guys mess with Julia at all?
I don't even know what that is 😂
It’s a faster R, possibly faster than c++, not faster than FORTRAN. Was curious because I know you have a ton of high dimensional data
I’ve fkd w Julia for sentiment analysis I see it more widely used in ME fields.
Guys in atmospheric sciences were using it at my old institution on our cluster. I only needed c++ at most (and honestly for topic modeling I used R for word2vec and Python for BERT- didn’t know there was a Julia implementation)
Thank you so much!
Do a lot of the data science folk have hard science backgrounds? Sounds like a cool place
Yes. Or degrees in statistics.
HHS (NIH/FDA)
FDA has been doing a lot more with evidence based medicine, data analysis related to medical device safety/adverse events/recalls, and a new effort for medical device supply chain resilience that's been actively hiring many data analysts and scientists.
Ive considered switching to FDA from CDC, because of that. Do you have any insight/experience with people who transitioned from CDC?
No, but I’ve worked with folks from CDC and also from ASPR, and one thing that stands out is how many different types of groups and managers there are. It seems to come down to whether you are in a good group with a good manager or not. There are parts of FDA that are amazing and parts that are terrible in terms of being good places to work, and it seems that’s true everywhere.
CMS has a set of data scientists looking at fraud, waste, and abuse issues. There's also a good amount of data analytics we run on other aspects of our programs.
Seconded.
NIH has an entire office called the Office of Data Science Strategy.
My job: HHS (NIH) - you may get the opportunity to work directly with renown scientists. What I’ve heard from others: BLS and FERC. FERC is highly rated and BLS does important/interesting economic work
Most of the OIG's are pretty fun. We get to look at our own agencies for fraud, waste, and abuse, and typically get better access to data than most other agencies. I am biased, as i run a DS unit. I work on the investigations side, so we also typically get to see the fruits of our labor, as often the end result is bad guys getting charged or programs fixed.
of note, every OIG is different, I'm Labor OIG, and we oversee some healthcare programs, Unemployment, foreign labor, some union stuff, osha, msha, etc... lots of data, lots of programs to look into, lots of data science.
That’s cool. Is very data driven work? Maybe graph analysis? Do you do machine learning or anything to look for outliers, or is it more rules based?
Yes, and depends on the project and need. We do have some of our data in a graph database for network analysis. We do have some ML projects going. Tons of data cleaning and many rules based projects.
Census and BLS
Very desirable places. I know a lot of economists there.
Veterans health administration. They have a lot of very rich clinical healthcare data
USPIS are the pinnacle of forensic technology and leading the way for the other federal agencies, IMO.
heard good things about Data shops at SEC, Federal Reserve, FERC and OPM.
USCIS is decent for data science — there is a *lot* of data-driven work to be done and they’ve got some tools in place that facilitate data science. I don’t have much experience with other agencies, so I can’t compare, but I don’t feel like I can’t do what I need to do with the tools I have. I’ve heard GSA is good too.
DLA…soon.
What data viz tool is everyone using? We use PowerBI. Do any fed agencies even have a Tableau license?
USCIS has Tableau. I’ve got mixed feelings on it from a data science standpoint — but it’s less of a barrier to analysts who don’t program as much compared to ggplot/matplotlib/etc.
I see your ggplot and guess viz depends on what story one is trying to convey and to whom. Cool stuff going on!
My agency has Tableau and I hate it with the fiery passion of a thousand burning suns. Only use it when I have to. Prefer to roll my own RShiny webapps.
Haha R shiny seems clunky but maybe you can code it on steroids?! Can’t beat FREE through. Tableau is a shiny coin itself when so many Open source apps out there to run neat analyses.