1 / 16

Keys to understanding when you are looking for a Data Scientist vs. Engineer, and when and how to utilize a Recruitment

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.

DeZyre
Download Presentation

Keys to understanding when you are looking for a Data Scientist vs. Engineer, and when and how to utilize a Recruitment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

  2. 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

  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 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

  5. My(Big(Data(Journey… Left(to(Right:( •CERN,(2008( •Seattle(Scalability,(2014( •OSCON,(2015( •Velocity,(2015 @MaryKypreos linkedin.com/MaryKypreos Greythorn.com

  6. 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

  7. 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

  8. 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

  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 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

  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( Never$Wing$It$ Do(not(use(your(interview(process(to( determine(who(or(what(you(need.( @MaryKypreos linkedin.com/MaryKypreos Greythorn.com

  12. 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

  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. 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

  15. @datapopup #datapopupseattle #datapopupseattle

  16. Thank You To Our Sponsors #datapopupseattle

More Related