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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 <br>Recruiting Manager for the Open Source & Big Data Team <br>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 Mary Kypreos Recruiting Manager for the Open Source & Big Data Team, Greythorn marykypreos GreythornNA #datapopupseattle
UNSTRUCTURED D Data Science POP-UP in Seattle 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. #datapopupseattle www.dominodatalab.com
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
Who(We(Are 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…( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
My(Big(Data(Journey… Left(to(Right:( •CERN,(2008( •Seattle(Scalability,(2014( •OSCON,(2015( •Velocity,(2015 @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.(( @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 @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Data(Scientist:(Typical(Skills ▪ 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 Source:(Drew(Conway @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
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
Navigating(the(In]Between Source:(Dataconomy 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.( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
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( Never$Wing$It$ Do(not(use(your(interview(process(to( determine(who(or(what(you(need.( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
If(You(Choose(an(Agency 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.(( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
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
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( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com
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