职场英语：数据科学家炙手可热(双语）
<p><span word="The">The</span> <span word="hunt">hunt</span> <span word="for">for</span> <span word="analytics">analytics</span> <span word="talent">talent</span> <span word="hots">hots</span> <span word="up">up</span></p><p><span word="The">The</span> 21<span word="st">st</span> <span word="century">century</span>’<span word="s">s</span> <span word="sexiest">sexiest</span> <span word="job">job</span> <span word="is">is</span> <span word="the">the</span> <span word="data">data</span> <span word="scientist">scientist</span>, <span word="Harvard">Harvard</span> <span word="Business">Business</span> <span word="Review">Review</span> <span word="claimed">claimed</span> <span word="recently">recently</span>. <span word="Such">Such</span> <span word="employees">employees</span> <span word="are">are</span> “<span word="a">a</span> <span word="hybrid">hybrid</span> <span word="of">of</span> <span word="data">data</span> <span word="hacker">hacker</span>, <span word="analyst">analyst</span>, <span word="communicator">communicator</span> <span word="and">and</span> <span word="trusted">trusted</span> <span word="adviser">adviser</span>”, <span word="the">the</span> <span word="US">US</span> <span word="business">business</span> <span word="school">school</span> <span word="journal">journal</span> <span word="said">said</span>, <span word="pointing">pointing</span> <span word="out">out</span> <span word="that">that</span> <span word="this">this</span> <span word="combination">combination</span> <span word="of">of</span> <span word="skills">skills</span> <span word="is">is</span> <span word="extremely">extremely</span> <span word="rare">rare</span>.</p><p>《哈佛商业评论》(<span word="Harvard">Harvard</span> <span word="Business">Business</span> <span word="Review">Review</span>)近期声称，21世纪最性感的工作是数据科学家。这一美国商学院期刊表示，数据科学家集“数据黑客、分析师、沟通大师和受信任的顾问”于一身，并指出，这种技能的结合极为罕见。</p><p><span word="Therein">Therein</span> <span word="lies">lies</span> <span word="the">the</span> <span word="problem">problem</span> <span word="for">for</span> <span word="many">many</span> <span word="businesses">businesses</span> <span word="across">across</span> <span word="the">the</span> <span word="globe">globe</span>. <span word="While">While</span> <span word="company">company</span> <span word="managers">managers</span> <span word="recognise">recognise</span> <span word="the">the</span> <span word="benefits">benefits</span> <span word="that">that</span> <span word="big">big</span> <span word="data">data</span> <span word="can">can</span> <span word="bring">bring</span>, <span word="they">they</span> <span word="are">are</span> <span word="struggling">struggling</span> <span word="to">to</span> <span word="find">find</span> <span word="people">people</span> <span word="with">with</span> <span word="the">the</span> <span word="right">right</span> <span word="skills">skills</span>.</p><p>这正是全球各地诸多企业的问题所在。尽管公司经理深知大数据所能带来的效益，但他们难以找到拥有合适技能的人才。</p><p><span word="The">The</span> <span word="rush">rush</span> <span word="to">to</span> <span word="make">make</span> <span word="use">use</span> <span word="of">of</span> <span word="big">big</span> <span word="data">data</span> <span word="shows">shows</span> <span word="no">no</span> <span word="sign">sign</span> <span word="of">of</span> <span word="slowing">slowing</span>. <span word="A">A</span> <span word="survey">survey</span> <span word="of">of</span> 600 <span word="companies">companies</span> <span word="in">in</span> <span word="the">the</span> <span word="US">US</span> <span word="and">and</span> <span word="UK">UK</span> <span word="conducted">conducted</span> <span word="last">last</span> <span word="year">year</span> <span word="by">by</span> <span word="Accenture">Accenture</span>, <span word="the">the</span> <span word="management">management</span> <span word="consultancy">consultancy</span>, <span word="found">found</span> <span word="that">that</span> <span word="two">two</span>-<span word="thirds">thirds</span> <span word="had">had</span> <span word="appointed">appointed</span> <span word="a">a</span> <span word="senior">senior</span> <span word="figure">figure</span> <span word="to">to</span> <span word="lead">lead</span> <span word="data">data</span> <span word="management">management</span> <span word="and">and</span> <span word="analytics">analytics</span> <span word="in">in</span> <span word="the">the</span> <span word="past">past</span> 18 <span word="months">months</span>. <span word="Even">Even</span> <span word="among">among</span> <span word="companies">companies</span> <span word="that">that</span> <span word="had">had</span> <span word="not">not</span> <span word="made">made</span> <span word="such">such</span> <span word="an">an</span> <span word="executive">executive</span> <span word="appointment">appointment</span>, 71 <span word="per">per</span> <span word="cent">cent</span> <span word="expected">expected</span> <span word="to">to</span> <span word="do">do</span> <span word="so">so</span> <span word="in">in</span> <span word="the">the</span> <span word="near">near</span> <span word="future">future</span>.</p><p>利用大数据的潮流毫无放缓迹象。管理咨询公司埃森哲(<span word="Accenture">Accenture</span>)去年调查了600家美国和英国公司，结果发现有三分之二的公司在之前18个月任命了负责数据管理和分析工作的高管。即使是尚未设立此类高管职位的公司，也有71%准备在不久的将来作出任命。</p>
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