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Keys to Understanding When You Are Looking for
a Data Scientist vs. Engineer, and When and How
to Utiliz...
#datapopupseattle
UNSTRUCTURED
Data Science POP-UP in Seattle
www.dominodatalab.com
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Produced by Domino Data Lab
Domino’s...
Building(a(Data(Team
Understanding(when(you(are(
looking(for(a(data(scientist(versus(a(
data(engineer,(and(when/how(to(
us...
Who(We(Are
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Our$Niche$
We(specialize(in(recruiting(for(startups(in(the(...
My(Big(Data(Journey…
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Left(to(Right:(
•CERN,(2008(
•Seattle(Scalability...
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Is(It(a(Data(Scientist?
Too$Many$Options?$
Is(a(Data(Scientist(a(quant...
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Understanding(Your(Needs
▪ Avoid(the(hype(at(all(costs—hire(for(your(n...
Data(Scientist:(Typical(Skills
Source:(Drew(Conway
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
▪ Pulls(insights(fr...
Data(Engineer:(Typical(Skills
▪ Focuses(on(systems(that(store/
retrieve(data(
▪ Builds(robust(databases(
▪ Typically(softw...
Navigating(the(In]Between
Source:(Dataconomy
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Although(Data(Scientist(a...
Know(the(Position(Before(Interviewing
Where$to$Start$
If(you(already(have(a(data(expert(on(staff,(they(will(be(key(to(your...
If(You(Choose(an(Agency
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Interview$Them!$
If(you(are(interviewing(candi...
In(Short…
If$You$
▪ Know(what(you(want(
▪ Work(with(trusted(resources(
▪ Ensure(you(are(not(offending(the(
community(
▪ Up...
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Finding(the(Elusive(Flying(

Rainbow]Unicorn]Cat
If(you(are(an(active(...
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Keys to understanding when you are looking for a Data Scientist vs. Engineer, and when and how to utilize a Recruitment Firm - Data Science Popup Seattle

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Knowing how to hire in this market is tough, (and) understanding what you are really looking for is key. This Lightning talk will cover some of the challenges in our current market, (as well as) tips to make the hiring process easier. Presented by Mary Kypreos
Recruiting Manager for the Open Source & Big Data Team
Greythorn.

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Keys to understanding when you are looking for a Data Scientist vs. Engineer, and when and how to utilize a Recruitment Firm - Data Science Popup Seattle

  1. 1. #datapopupseattle Keys to Understanding When You Are Looking for a Data Scientist vs. Engineer, and When and How to Utilize a Recruitment Firm Mary Kypreos Recruiting Manager for the Open Source & Big Data Team, Greythorn marykypreos GreythornNA
  2. 2. #datapopupseattle UNSTRUCTURED Data Science POP-UP in Seattle www.dominodatalab.com D Produced by Domino Data Lab Domino’s enterprise data science platform is used by leading analytical organizations to increase productivity, enable collaboration, and publish models into production faster.
  3. 3. Building(a(Data(Team Understanding(when(you(are( looking(for(a(data(scientist(versus(a( data(engineer,(and(when/how(to( use(a(recruiting(firm Mary(Kypreos,(Recruiting(Manager,(Big(Data(and(Open(Source(Team @marykypreos(((((((((((((linkedin.com/marykypreos
  4. 4. Who(We(Are @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Our$Niche$ We(specialize(in(recruiting(for(startups(in(the(Big(Data(and( Open(Source(spaces—whether(that(is(a(data(scientist,(open( source(committers,(director(of(engineering,(etc.( Presence$in$the$Community$ Our(reputation(is(built(on(our(passion.(We(sponsor(local( meetups,(attend(national(conferences,(and(most( importantly,(learn(and(understand(what’s(being(said.(( The$Unicorn$ Our(Unicorn(logo(goes(all(the(way(back(to(our(first(client.( After(consistently(finding(them(Apache(Committers,(they( kept(emailing(asking(for(more(Unicorns.(Thus,(the(legend( was(born…(
  5. 5. My(Big(Data(Journey… @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Left(to(Right:( •CERN,(2008( •Seattle(Scalability,(2014( •OSCON,(2015( •Velocity,(2015
  6. 6. @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Is(It(a(Data(Scientist? Too$Many$Options?$ Is(a(Data(Scientist(a(quant(in(finance,(a( researcher(in(science,(or(a(statistician(in( industry?(All(of(the(above!(There(is(no(one] size]fits]all(definition.(( In(“Analyzing(the(Analyzers,”(published(by( O’Reilly,(the(authors(argue(that(there(are(at( least(4(different(types(of(Data(Scientists:(( •((Data(Businesspeople( •((Data(Creatives( •((Data(Developers( •((Data(Researchers( Focus$on$Your$Problem$ Don’t(get(lost(in(titles(and(hype.(Instead( focus(on(the(skills(you(truly(need.(That’s( where(your(search(will(begin.((
  7. 7. @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Understanding(Your(Needs ▪ Avoid(the(hype(at(all(costs—hire(for(your(needs(and( your(needs(alone.(( ▪ Knowing(the(bigger(picture(will(help(you(identify(your( needs(and(attract(the(right(talent
  8. 8. Data(Scientist:(Typical(Skills Source:(Drew(Conway @MaryKypreos linkedin.com/MaryKypreos Greythorn.com ▪ Pulls(insights(from(data(to( answer(questions(and(solve( problems( ▪ Creates(models(and(tells(a( story( ▪ Strong(in(the(scientific( process(and(handling( unknowns( ▪ Typically(advanced(degrees( ▪ Typically(scripting(versus( coding
  9. 9. Data(Engineer:(Typical(Skills ▪ Focuses(on(systems(that(store/ retrieve(data( ▪ Builds(robust(databases( ▪ Typically(software(engineer(by( trade/education( ▪ Strong(engineering/programming( skills( ▪ Databases/data(warehouse( knowledge( ▪ Experience(with(big(data( technologies,(tools,(etc.(( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
  10. 10. Navigating(the(In]Between Source:(Dataconomy @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Although(Data(Scientist(and(Data(Engineering(skills(can(overlap,(it’s(rare( to( find( someone( truly( strong( in( both( areas.( Not( to( mention,( someone( who(wants(to(do(both.(
  11. 11. Know(the(Position(Before(Interviewing Where$to$Start$ If(you(already(have(a(data(expert(on(staff,(they(will(be(key(to(your(hiring( If(you(aren’t(a(data(expert,(have(never(hired(a(data(expert,(or(don’t(already(have(data( experts(on(staff,(find(outside(assistance:( ▪ Consult(a(trusted(friend(or(advisor( ▪ Hire(an(agency( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Never$Wing$It$ Do(not(use(your(interview(process(to( determine(who(or(what(you(need.(
  12. 12. If(You(Choose(an(Agency @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Interview$Them!$ If(you(are(interviewing(candidates(to(join(your(team,(why(wouldn’t(you(also(interview(the( agencies(finding(the(candidates(you(are(interviewing?( ▪ Have(they(placed(people(in(similar(roles?( ▪ Will(you(have(one(point(of(contact(or(multiple?( ▪ Check(their(references!( ▪ Does(their(personality(mesh(with(your(company’s(personality?( ▪ What’s(their(reputation(in(the(industry?( Don’t$Get$Stuck$on$Terms$ When(you(find(the(right(agency,(don’t(get(caught(up(on(the(terms.(As(always,(you(will(get(the( quality(of(the(work(you(pay(for,(so(pay(for(the(quality(you(want(and(you(won’t(regret.(( Limit$the$Number$of$Firms$You$Work$With$ Working(with(10(agencies(may(get(you(10x(the(resumes,(but(it(harms(the(power(of(your(brand.( Only(entrust(your(story(and(reputation(to(a(select(few(agencies(because(becoming(old(news( will(limit(your(access(to(the(talent(pool(you(need.((
  13. 13. In(Short… If$You$ ▪ Know(what(you(want( ▪ Work(with(trusted(resources( ▪ Ensure(you(are(not(offending(the( community( ▪ Uphold(your(reputation( You’ll$have$better$access$to$the$type$of$ talent$you$want$to$hire$and$who$want$to$ work$with$you.$$ @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
  14. 14. @MaryKypreos linkedin.com/MaryKypreos Greythorn.com Finding(the(Elusive(Flying(
 Rainbow]Unicorn]Cat If(you(are(an(active(or(passive(job( seeker,(email(Mary(Kypreos:( mary.kypreos@greythorn.com( If(you(are(a(company(seeking(hiring( help,(email(Lindsey(Thorne:( lindsey.thorne@greythorn.com(
  15. 15. #datapopupseattle @datapopup #datapopupseattle
  16. 16. #datapopupseattle Thank You To Our Sponsors

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