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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The document provides insights on hiring data scientists versus data engineers, emphasizing the importance of understanding specific skills and needs before initiating recruitment. It highlights the roles of recruiting firms and offers advice on how to effectively evaluate candidates and agencies. The emphasis is on avoiding hype and focusing on the actual requirements for a successful hiring process.
![@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
Is(It(a(Data(Scientist?
Too$Many$Options?$
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industry?(All(of(the(above!(There(is(no(one]
size]fits]all(definition.((
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O’Reilly,(the(authors(argue(that(there(are(at(
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•((Data(Businesspeople(
•((Data(Creatives(
•((Data(Developers(
•((Data(Researchers(
Focus$on$Your$Problem$
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focus(on(the(skills(you(truly(need.(That’s(
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![Navigating(the(In]Between
Source:(Dataconomy
@MaryKypreos linkedin.com/MaryKypreos Greythorn.com
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to( find( someone( truly( strong( in( both( areas.( Not( to( mention,( someone(
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![@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(](https://image.slidesharecdn.com/dominodatasciencepopupseattlemarykypreobuildingadatateam-151013133747-lva1-app6892/85/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-14-320.jpg)
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. #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 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.
- 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
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