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.

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. #datapopupseattle
UNSTRUCTURED
Data Science POP-UP in Seattle
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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. 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. 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. My(Big(Data(Journey…
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Left(to(Right:(
•CERN,(2008(
•Seattle(Scalability,(2014(
•OSCON,(2015(
•Velocity,(2015

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. @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. 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. 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. 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. 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. 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. 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. @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. #datapopupseattle
@datapopup
#datapopupseattle

16. #datapopupseattle
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