[{"data":1,"prerenderedAt":353},["ShallowReactive",2],{"project-20830726":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":45,"post_text":47,"what":48,"said":97,"maker_in_thread":206,"shape":209,"grid":213,"attempts":314,"same_week":315,"maker_shows":46,"maker_hidden":345,"reader_version":346,"card":347},"20830726","HackerRank Projects","Real world (Jupyter notebook embed) way to assess data scientists","title","Show HN: Real world (Jupyter notebook embed) way to assess data scientists","https:\u002F\u002Fwww.hackerrank.com\u002Ftests\u002F7j6a5mhn6lb\u002F78766bda888f6c08605024290c926550","hackerrank.com","rvivek",1567094784,2019,134,48,338,2195,16,"notable","web_saas","recruiting assessment platform","web_app",[24,25,26,27],"data scientist hiring","jupyter notebook assessment","data science interview","take-home test","mixed",-0.267,{"positive":31,"neutral":32,"mixed":33,"critical":34},3,18,6,12,39,{"idea":37,"design":40,"performance":42,"execution":44},{"positive":38,"critical":39},2,7,{"positive":41,"critical":38},0,{"positive":43,"critical":41},1,{"positive":41,"critical":31},[43,31,41,43,41,31,43,43,31,46,41,43,43,43,46,31,46,43,31,43,43,31,31,31,31,31,41,31,31,31,41,31,31,31,31,31,31,43,41,43],5,null,{"problem":49,"audience":60,"pricing":71,"motivation":47,"time_to_build":47,"stack":75,"openness":94,"stage":95,"team_size":96},{"value":50,"source":51,"evidence":52},"Assessing data scientists' skills during hiring","maker",[53,56],{"id":54,"by":11,"text":55},"20830905","Hello folks, would love your feedback on our new product to assess data scientists.",{"id":57,"by":58,"text":59},"20832082","shikharja","ska, our aim with the challenge was to allow candidates to not be biased by a fixed outcome and try to solve the problem as they would solve any real data science problem. This…",{"value":61,"source":62,"evidence":63},"Employers hiring data scientists","commenter",[64,67],{"id":65,"by":58,"text":66},"20834699","That's great to hear Ryan! You can sign up for the free trial for a full experience here - https:\u002F\u002Fwww.hackerrank.com\u002Fproducts\u002Ffree-trial.",{"id":68,"by":69,"text":70},"20834463","ryanferg","I'm a data scientist (for an MLB team that will win the WS this year!) and I love this. Of course this isn't a whole end to end evaluation platform. But we will get 300-500…",{"value":72,"source":62,"evidence":73},"Free trial available",[74],{"id":65,"by":58,"text":66},[76,83,90],{"value":77,"source":62,"evidence":78},"Python",[79],{"id":80,"by":81,"text":82},"20832228","minimaxir","Disclosure: Got a preview of this product, my opinions only. > You ask for writing and descriptions on why a model was chosen, why features matters - are you grading this…",{"value":84,"source":62,"evidence":85},"R",[86,87],{"id":80,"by":81,"text":82},{"id":88,"by":58,"text":89},"20832250","Thank you for the feedback! - We are not automatically grading it. We have learned that in the past that trying to automatically grade candidates on such challenges biases their…",{"value":91,"source":62,"evidence":92},"Julia",[93],{"id":80,"by":81,"text":82},"paid","launched","company",{"praise":98,"objections":118,"requests":159,"questions":176,"alternatives":193},[99,111],{"value":100,"source":62,"evidence":101},"Useful for filtering out unqualified applicants from large pools",[102,103,107],{"id":68,"by":69,"text":70},{"id":104,"by":105,"text":106},"20832835","okl","Isn't the most important part weeding out the most unqualified applicants? For that purpose such a test might be fine.",{"id":108,"by":109,"text":110},"20837288","b_tterc_p","I think this is good as a way to filter people out, but not as a way to rank people to find the best. I would want to see a short script to clean and predict a dataset, plus a…",{"value":112,"source":62,"evidence":113},"Good as a self-assessment tool for beginners",[114],{"id":115,"by":116,"text":117},"20839670","tryitnow","I think this is great as a self-assessment tool, especially for beginners. It would work great with other learning tools, like MOOCs, datacamp, dataquest.io, as part of an…",[119,134,149],{"value":120,"source":62,"evidence":121},"Task is too Kaggle-like and covers only a small part of data science work",[122,126,130],{"id":123,"by":124,"text":125},"20831709","soVeryTired","What you're asking for looks a lot like a kaggle challenge. You're asking if someone can use xgboost (or linear regression). It's the last ten per cent of a data science problem,…",{"id":127,"by":128,"text":129},"20832083","dannykwells","Working data scientist here. As many have said, this is, effectively a Kaggle challenge. I mean honestly at this point, I don't care, at all, how well someone can predict…",{"id":131,"by":132,"text":133},"20832187","tfehring","Any assessment that directly provides data sets - even with \"gotcha\"s like missing values - is testing, based on the conventional wisdom, at most 20% of a real-world data science…",{"value":135,"source":62,"evidence":136},"60-minute limit is too short for real data science work",[137,141,145],{"id":138,"by":139,"text":140},"20831919","morelandjs","No one does good science in 60 minutes.",{"id":142,"by":143,"text":144},"20837649","sireat","I suppose I am in the minority but I thought it was a pretty good FizzBuzz challenge for DS. In fact I'd say it is a bit aggressive for a 60 minute challenge. Quite a bit of data…",{"id":146,"by":147,"text":148},"20832409","ska","Here are my high level thoughts after a quick look at the question and some clarification in thread below. - a single question is difficult to evaluate. \"Answering a business…",{"value":150,"source":62,"evidence":151},"Take-home length may deter the best candidates",[152,155],{"id":153,"by":132,"text":154},"20836407","I think some candidates would be open to performing a half-day exercise. But the best candidates wouldn't, which is what drives the anti-selection I mentioned in my previous…",{"id":156,"by":157,"text":158},"20833774","peterbell_nyc","I think at best this is fizzbuzz for DS, which is not inherently wrong. It's nice to know a software developer can write a loop and a data scientist can use a JN, so for weeding…",[160,167],{"value":161,"source":62,"evidence":162},"Evaluate validation and communication skills",[163,166],{"id":164,"by":147,"text":165},"20832125","That's useful information, thanks. I'll add some thoughts on the rubric. [edit]. Initial thoughts: - \"data wrangling\" scoring difficult given this task - more weight to…",{"id":146,"by":147,"text":148},{"value":168,"source":62,"evidence":169},"Allow longer time limits",[170,173],{"id":171,"by":81,"text":172},"20831958","True. But as long as all candidates have the same time limit \u002F same expectation of work depth, and the test providers have a reasonable expectation of how much can be…",{"id":174,"by":58,"text":175},"20831938","That is correct. We had to reduce the time duration to be able to handle the traffic. We recommend 90mins for this challenge. What do you think would the right amount of time for…",[177,184],{"value":178,"source":62,"evidence":179},"How are submissions evaluated and ranked?",[180,183],{"id":181,"by":147,"text":182},"20831567","I have a number of concerns about the efficacy of this, but they are made more difficult to rank by not understanding how you are planning to evaluate and use the results. Can…",{"id":57,"by":58,"text":59},{"value":185,"source":62,"evidence":186},"Who is the target experience level?",[187,190],{"id":188,"by":147,"text":189},"20832048","Ok, although I would be wary of using a numerical comparison for anything except catching obvious errors. I should have asked this before, but \"data science\" is a pretty broad…",{"id":191,"by":58,"text":192},"20832174","Agreed. Data Science is a very broad term. The challenge is designed for Data Scientists. We are trying to target all experience levels as of now through a screening\u002Ftake-home…",[194,199],{"value":195,"source":62,"evidence":196},"Kaggle challenges",[197,198],{"id":123,"by":124,"text":125},{"id":127,"by":128,"text":129},{"value":200,"source":62,"evidence":201},"Interviewquery",[202],{"id":203,"by":204,"text":205},"20832121","data4lyfe","I am in the camp to think that this notebook judges data scientists in a way that soon will be obsolete. If I'm given this clean dataset with all of the features properly set in…",{"comments":43,"answered":41,"key":207},[208],{"id":54,"text":55},{"commenters":210,"max_depth":39,"maker_replies":43,"first_comment_mins":211,"lifespan_hours":212},23,15,51,[214,216,220,223,224,226,228,230,231,232,234,236,238,241,242,245,248,249,250,252,257,259,261,263,266,269,271,272,274,276,278,280,284,287,289,291,295,296,297,299,300,301,303,304,305,306,308,310],[123,41,43,215,124,41],"project\u002Fcritical\u002Fidea",[217,41,31,218,219,41],"20831750","project\u002Fneutral\u002Fidea","anilgulecha",[221,41,41,222,58,41],"20831841","commenter\u002Fneutral\u002Fnone",[131,41,43,215,132,41],[225,41,41,222,81,41],"20832473",[227,41,41,222,132,41],"20836136",[229,41,31,218,58,41],"20834138",[153,41,43,215,132,41],[127,43,43,215,128,41],[80,43,31,233,81,41],"project\u002Fneutral\u002Fnone",[88,43,31,235,58,41],"maker\u002Fneutral\u002Fnone",[104,43,46,237,105,41],"project\u002Fpositive\u002Fidea",[239,43,41,222,240,41],"20834537","iamwil",[203,38,43,215,204,41],[243,38,43,215,244,41],"20832172","enahs-sf",[246,38,43,247,81,41],"20832325","project\u002Fcritical\u002Fdesign",[68,31,46,237,69,41],[65,31,31,235,58,41],[251,31,31,235,58,41],"20834739",[253,254,46,255,256,41],"20832163",4,"project\u002Fpositive\u002Fperformance","pequalsnp",[138,46,43,258,139,41],"project\u002Fcritical\u002Fexecution",[174,46,31,260,58,41],"maker\u002Fneutral\u002Fexecution",[171,46,31,262,81,41],"project\u002Fmixed\u002Fexecution",[264,46,43,258,265,41],"20834026","listenallyall",[267,46,43,258,268,41],"20847728","kthejoker2",[108,33,31,270,109,41],"project\u002Fmixed\u002Fidea",[115,39,31,270,116,41],[273,39,31,235,219,41],"20840061",[275,39,31,235,58,41],"20840257",[142,277,31,262,143,41],8,[279,277,31,260,58,41],"20840293",[281,282,41,283,268,41],"20848042",9,"other\u002Fneutral\u002Fnone",[146,285,31,286,147,41],10,"project\u002Fmixed\u002Fnone",[288,285,31,235,58,41],"20840333",[290,285,31,235,147,41],"20840725",[292,293,41,283,294,41],"20835152",11,"PLenz",[54,34,41,235,11,43],[181,34,31,233,147,41],[298,34,31,233,219,41],"20831645",[188,34,31,233,147,41],[191,34,31,233,58,41],[302,34,31,233,147,41],"20832493",[156,34,31,286,157,41],[57,34,31,233,58,41],[164,34,43,247,147,41],[307,34,41,222,58,41],"20834555",[309,34,41,222,147,41],"20843810",[311,312,43,215,313,41],"20834824",13,"tzm",[],[316,321,326,330,335,340],{"id":317,"name":318,"points":319,"category":320},"20872696","IgushArray",300,"languages",{"id":322,"name":323,"points":324,"category":325},"20860852","Face Generator",256,"creative",{"id":327,"name":328,"points":329,"category":20},"20865426","Ackee",214,{"id":331,"name":332,"points":333,"category":334},"20865012","Fullstack ML",198,"ai",{"id":336,"name":337,"points":338,"category":339},"20857887","Hacker News Clone",179,"learning_science",{"id":341,"name":342,"points":343,"category":344},"20860053","workoutbff.com",131,"consumer_social",false,"v2",{"id":348,"name":5,"line":6,"ai":345,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":349,"top":18,"kw":350,"maker":11,"domain":10,"tier":19,"attempts":41,"strip":351,"url":9,"mix":352,"praise":100,"objection":120,"sub":21},20830726,-0.27,[24,25,26,27],"1301031135011153513113333303330333333101",[31,32,33,34],1794036580334]