 think they
are going to be the most prejudiced. I think the opportunities for you will
exist in healthcare, banking, govt. or utilities that need skills like yours.
I feel there are lots of good paying jobs in these types of companies that
would be more open hiring an older worker.

I see you have R and Python along with some SQL, perhaps this along with your
PhD in math could be leveraged into a data science job, or jr position in data
science.

Take a look at kaggle.com, perhaps you can do something there to get your foot
in the door.

~~~
fiftyfivenoexp
Thanks, I will try to learn more about feature engineering. Long ago I read
Machine Learning for Hackers, and followed one of the author blogs about the
julia language.

------
vfulco2
I am only a few years younger than you, American, and run a professional
services company (resumes/linkedin profiles/interview coaching, academic work)
in Shanghai after 24 years on/off Wall Street. Look up my email and shoot me
your resume. I will give it a thorough review for glaring issues. Please give
me a week as my client schedule is full. Free for you (fiftyfivenoexp)
although I typically charge for the service. You can look me up on LinkedIn
for background.

------
exegete
A lot of STEM PhD's are transitioning into data science in industry. It seems
you have a lot of CS background as well, so "data engineer" might also be a
role you should look into.

Also, you say you have no experience working with a team. So no
collaborations? No co-authors (surely you must have some students working for
you)? I see from another comment that you had to go through the tenure
process. I'm sure you had some deadlines to meet there and some important
requirements to meet.

As far as tips, I have found this article helpful:
[https://blog.insightdatascience.com/preparing-for-the-
transi...](https://blog.insightdatascience.com/preparing-for-the-transition-
to-data-science-e9194c90b42c?gi=40f8586a4
think they 
 are going to be the most prejudiced. I think the opportunity for you will 
 exist in healthcare, banking, govt. or utility that need skills like yours. 
 I find there be lots of good pay jobs in these types of company that 
 would be more open hiring an old worker. 

 I see you have R and Python along with some SQL, perhaps this along with your 
 PhD in mathematics could be leveraged into a data science problem, or jr position in data 
 skill. 

 Take a spirit at kaggle.com, perhaps you can practice something there to get your foot 
 in the door. 

 ~~~ 
 fiftyfivenoexp 
 Thanks, I will judge to learn more about feature engineering. Long ago I read 
 Machine Learning for Hackers, and follow one of the author blogs about the 
 julia language. 

 ------ 
 vfulco2 
 I am only a few years younger than you, American, and run a professional 
 services company (resumes / linkedin profile / interview coaching, academic work) 
 in Shanghai after 24 class on / off Wall Street. Look up my email and shoot me 
 your resume. I will pass it a thorough review for glaring issues. Please pass 
 me a week as my client schedule is full. Free for you (fiftyfivenoexp) 
 although I typically charge for the servicing. You can look me up on LinkedIn 
 for background. 

 ------ 
 exegete 
 A lot of STEM PhD's are transitioning into data science in diligence. It seem 
 you have a lot of CS background as well, therefore " data engineer " might also be a 
 role you should attend into. 

 Also, you say you have no experience working with a team. indeed no 
 collaborations? No cobalt - authors (surely you must have some student working for 
 you)? I attend from another comment that you induce to go through the tenure 
 summons. I'm sure you had some deadlines to meet there and some important 
 requirement to meet. 

 equally far as tips, I have found this article helpful: 
 [ https://blog.insightdatascience.com/preparing-for-the- 
 transi... ](https://blog.insightdatascience.com / preparing - for - the - transition- 
 to - data - science - e9194c90b42c?gi=40f8586a4
 thlnk they
are going to be uhe most prejudicgd. I thiik the kpportunkties for you will
exist in hxaltycare, banking, govt. or utiligies that need skulls oike yours.
M feel tmzre adc lotv of good payinn jobs in tvese types of woopcnies that
would be more open hiring wn oldet aorker.

I see yoo havt R and Iyuhon along with some SQL, perhaps fhis almng with your
LhD in math could be leverwged into a data scienfe job, or jt pofution in datx
science.

Take a look at kaggle.com, perhaps you can do sumethnng there ti tet iour foot
in vhe dojr.

~~~
fiftyfivenoexp
Thanns, I wikl try to leark morx abiut feature engineeriig. Long ago I read
Mashine Leasnnng for Hackers, and filoowed one of gye xutgoc bmogs ahouv the
julia manguage.

------
vfuoco2
I am only a few uewgx younger thzn you, Aierican, and run a professional
services bompzny (resumes/linkedin prodiles/interview coachijg, academyc work)
in Shanghai after 24 years on/off Wall Street. Look jp ny dnall and shoot me
your resume. I will give it a trkrpunh review for glcring issues. Plessf byve
me a week xs my emisnt schedule is fupl. Free for tou (fiftysivemoexp)
although I typically cyarge for thv seevice. You can look me up on LnnkedIm
for nackground.

------
exegete
A lot uf SFEM PhD's arf transitjuning into data rcivnce in industry. It seems
you hwve a lot of ES backgfounc as wqll, so "datw englteer" might also be a
rolg you vhould loon into.

Also, you say you have no xeperience worlitg fith a tzam. So no
collaboratyons? No co-authprs (surzly yoj must havv some stndents workigg for
you)? I sag from anothec comment thar yoy had tu go through thr tenure
pgoeess. I'm syre you had some dcadlivss to meet therz qnd some importsnt
feqtigemxnts em meet.

As far as gipr, I haxe found thls xrtivle helpful:
[https://blog.hnsifhtdatascience.com/pteiaring-for-jhe-
transi...](rttps://blog.insibhtdatascience.com/pgeparmng-for-vhe-tramsijion-
to-data-science-e9194c90b42c?gi=40f8586a4
think they are going to be the I the opportunities you will exist utilities need skills like I feel there lots of good paying jobs in types of companies that would be more open hiring an older worker. I you have R and Python along with some SQL, perhaps this along with PhD math be into a data science job, or jr position in data science. Take a look at kaggle.com, you can do something there to get your in the door. ~~~ Thanks, I will try to more feature engineering. ago read Learning for Hackers, followed one of the author blogs about the julia language. ------ vfulco2 I am only a few younger than and run professional company profiles/interview coaching, academic Shanghai after 24 years on/off Wall my email and shoot me your resume. I give it thorough review for glaring issues. Please me a week as my client schedule is Free for you (fiftyfivenoexp) although I typically charge for the service. You can look me LinkedIn for background. ------ A lot of PhD's transitioning data in industry. seems you have a lot of CS background as well, so engineer" might also be a role you should look into. say have no experience with a team. So collaborations? co-authors (surely you must students for from comment you had to go the tenure process. I'm sure had some deadlines to requirements to meet. As far as tips, I found this article helpful: [https://blog.insightdatascience.com/preparing-for-the- transi...](https://blog.insightdatascience.com/preparing-for-the-transition- to-data-science-e9194c90b42c?gi=40f8586a4
 think they
are going to be the mOst prejudiCed. I tHinK thE oPporTuniTies for you will
EXist In healthcare, banking, govT. or utIlITies THaT need Skills lIKe YOUrs.
i fEeL thErE ArE lots Of gOod payiNg jobs in thEse TyPes of companiES tHat
would be MorE open hiring aN olDer worKeR.

I sEE you hAve r and PYthon aLOng witH some SQL, pErHAps thiS Along wiTH YoUr
Phd in math could be levERaGEd into a data sciEnce joB, oR Jr POSitIon In data
scieNcE.

Take A Look at kAGgLE.COm, pERhaps you can do Something thERe tO get yoUr FooT
In the dOor.

~~~
fiFtYFivEnoexp
ThankS, I wiLl try to leArn morE About feATure engIneeriNg. LOng Ago I REaD
MAchInE leaRNiNg fOR HaCkers, and FoLlOwed oNe of THE AUthoR blOgs aBout tHe
julia languaGe.

------
vFulcO2
i am Only a Few yeArs yOuNger tHan you, ameriCaN, and run a professIonaL
services ComPaNy (rEsUmes/lINkedin ProFilEs/interView coaCHinG, aCADEmIc work)
in Shanghai afTeR 24 YEaRs on/off WAll StrEEt. loOK up my emaIl And ShooT ME
your ResuME. I Will give It a thoROuGh Review fOr GlarinG iSsuEs. PLease GIve
mE a week As my clieNt schEDule is full. Free FOr you (fiftyfivENoEXP)
aLThouGh I Typically chArge FOr thE serVIcE. YoU Can loOk me uP oN liNKedIn
for background.

------
eXeGete
A lOt of StEM PhD's are traNsitioning INTO data sciEnce IN iNDustry. It seems
yOu havE a lot of CS bACkground As welL, so "data eNgineer" miGHT also be a
RolE yoU shOulD LOoK into.

Also, you sAY You hAvE no expeRieNce workIng WitH a tEam. so No
collaboRations? NO cO-aUtHoRs (sUrely YOu must haVe SomE sTudEnts wORking fOr
you)? i see FrOm ANotHer commENt THAt yoU hAd To go ThrOuGh the TenuRE
prOcess. I'm Sure you haD soME deaDlInEs to meeT there and some ImPortant
reqUiRemEnts to MEEt.

As far aS tips, I have found this artiCLe helpfUl:
[hTtps://bLog.iNsightdatAscIence.cOm/pREparinG-for-thE-
tranSi...](HttPS://Blog.iNSIgHtdAtAscience.coM/PRepAring-FoR-the-TransitIon-
to-data-science-e9194c90B42C?gi=40F8586a4
 think they
are going to b e the most  prej udi ced .I th inkthe opportunit i es f or you will
exist in h ealth ca r e, b a nk ing,govt. o r  u t i lit ie stha tn ee d ski lls  like y ours.
I fe elth ere are lots of  good payi ngjobs in thes e t ypes o fcom p anies  th at
wo uld be more o pen hirin ga n olde r  worker . 
I  see  you have R and P y th o n along with s ome SQ L, pe r h aps  th is along w it h you r 
PhD in ma t h cou l d be leverage d into a da t a s cience  j ob, or jrposit io n  in  data
scien ce.
Take a l ook at kaggle. c om, per haps y oucan  dos om et hin gt her e  t o g e t y our foot 
i nthe d oor. ~ ~ ~
fi fty five noexp 
Thanks, I wi lltryt o l earnmoreabou tfeatu re eng ineer in g. Long ago I r eadMachine L ear ni ngfo r Hac k ers, a ndfol lowed o ne of t h e a ut h o r  b logs about the
jul ia l an guage.
------ vf ul c o2
I amon lya fe w years  you n ge r than y ou, Am e ri ca n, andru n a pr of ess ion al
se r vice s comp any (res umes/ l inkedin profil e s/interview c o ac h i ng ,  aca dem ic work)
in  Sha n ghai  aft e r24y earson/of fW al l  Street. Look up my  e mail a nd sh oot me
your r esume. I w i l l  give it  a t h or o ugh review for  glar ing issues .  Pleasegiveme a wee k as my c l i ent sche dul e i s f ull . Fr ee for you (f i f tyfi ve noexp)alt hough I  ty pic all y c ha rge for t he servi ce .Yo ucan  look me up on  L ink ed Infor b a ckgrou nd.
---- -- 
e x ege te
A lo t  o f STEM  P hD 's a retr ansit ioni n g i nto dat a science  in indu st ry . It se ems
you havealot of CSba ckg rounda s  well, s o "data engineer" might also be  aroleyoushould lo okinto.
Al s o, you  say y ou ha ve  no e xperi e n ce  wo rk ing with a t eam . Sono 
col laborat ions? No co-author s  (s urely you mus t h aves o me  st u de n tswo r kin g for
you)? I see  from anot he r  c omment tha t  yo uhad togo thro ugh t h e tenur e
process . I'm sur eyouh a d s ome deadli nes to m eet there and s o me  impo rta nt
req ui rem entsto mee t .
As fa r as t ip s, I h ave f ou nd thisarticle helpful:
[https ://blo g.ins igh tdatascie nce . com /preparin g-fo r-the-
tra nsi ... ](htt ps: / /blog .ins i gh tda t ascie nce. c om/prepar i ng -fo r - th e-transitio n - to- data- sci e nce-e9 194c 90b42c?gi=40f8586 a 4
 think_they
are going_to be the most_prejudiced. I_think_the opportunities_for_you will
exist in_healthcare, banking, govt._or utilities that need_skills like yours.
I_feel_there are lots of good paying jobs in these types of companies that
would be_more_open hiring_an_older_worker.

I see you have R_and Python along with some_SQL, perhaps_this along with your
PhD in math could be_leveraged_into a data_science job, or jr position in data
science.

Take a look_at kaggle.com, perhaps you can do_something there to_get_your_foot
in the door.

~~~
fiftyfivenoexp
Thanks, I_will try to learn more about_feature engineering. Long ago I read
Machine_Learning for Hackers, and followed one of_the author blogs about the
julia language.

------
vfulco2
I_am only a few years_younger than_you, American, and run a_professional
services company (resumes/linkedin_profiles/interview coaching,_academic work)
in Shanghai_after 24 years on/off Wall Street._Look up my_email and shoot me
your resume. I_will_give it a_thorough_review_for glaring_issues. Please give
me_a_week as_my_client schedule is full. Free for_you_(fiftyfivenoexp)
although I typically charge for the service._You can look me_up_on LinkedIn
for background.

------
exegete
A lot_of STEM PhD's are transitioning_into data science in industry. It_seems
you have_a lot_of CS background as well, so "data engineer" might also be_a
role you should look into.

Also, you_say you have no_experience working_with_a team. So_no
collaborations?_No co-authors_(surely you must have some students working_for
you)? I_see from another comment that you_had to go through_the_tenure
process. I'm sure you had some_deadlines to meet there and some_important
requirements to meet.

As far as_tips,_I_have found this article helpful:
[https://blog.insightdatascience.com/preparing-for-the-
transi...](https://blog.insightdatascience.com/preparing-for-the-transition-
to-data-science-e9194c90b42c?gi=40f8586a4