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DATA SCIENTIST: Got Lucky Getting A Degree In A Field In High Demand

About this video 

Tony is a Data Scientist at a popular business related website. He describes what his day looks like and talks about his career path after finishing a Masters in Statistics. Although not sure what sort of demand would exist for his degree when he first started college, he decided to pursue a career he liked and always wanted to do. His decision turned out to be a lucky one when discovering upon graduation that his degree was very popular and in high demand.

Degree: Statistics
Job Title: Data Scientis
Employer: LinkedIn

Job Summary: Statisticians

Job Description

Statisticians use mathematical techniques to analyze and interpret data and draw conclusions.

Statisticians design surveys, experiments, and opinion polls to collect data. Some surveys, such as the U.S. census, include data from nearly everyone. For most surveys and opinion polls, however, statisticians use sampling to collect data from some people in a particular group. Statisticians determine the type and size of the sample to be surveyed or polled.

Statisticians develop survey questionnaires or reporting forms for collecting the data they need. They also often write instructions for workers who collect and tabulate the data. Surveys may be mailed, conducted over the phone, or collected online or through some other means. Statisticians analyze the data that are collected. In their analyses, statisticians calculate averages, reliability, and other specifics of the data. They also choose and conduct tests to find out the data’s reliability and validity.

Statisticians explain the limitations of the data to prevent inaccurate conclusions from being drawn, and they identify trends and relationships. Statisticians use computers with specialized statistical software to analyze data. Some statisticians help to create new statistical software packages to analyze data more accurately and efficiently.

Statisticians write reports to explain their findings and the data’s limitations. They may present their reports to other team members and to clients with tables, charts, and graphs. Statisticians also recommend how to improve the design of future surveys or experiments.

Statisticians work in many fields, such as education, marketing, psychology, and sports: any field that requires collection and analysis of large amounts of data. In particular, government, health, and manufacturing employ many statisticians:

On-the-Job Training

Minimal.

Quick Facts

Average salary
Average salary
National Statistic Change Location
Confirm
$40,000 - $120,000
Projected job growth
Projected Job Growth
12 to 16 percent
Typical schedule
Typical schedule
Full-time
Typical workplace
Typical workplace
Indoor, Office
Personal qualities
Personal Qualities
Problem solving skills, Analytical skills, Detail oriented, Mathematical skills

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P3.instances[0].transcript.parse_transcript_data({"transcript":"<p><span m='265'>I'm actually</span> <span m='530'>currently</span> <span m='980'>a</span> <span m='1360'>data</span> <span m='1600'>scientist</span> <span m='2190'>for</span> <span m='2590'>LinkedIn.</span> <span m='3540'>A</span> <span m='3760'>lot</span> <span m='3950'>of</span> <span m='4070'>it</span> <span m='4210'>has</span> <span m='4410'>to</span> <span m='4680'>revolve around</span> <span m='5150'>answering</span> <span m='5640'>business</span> <span m='5950'>questions,</span> <span m='6420'>any</span> <span m='6890'>questions</span> <span m='7270'>revolving</span> <span m='7940'>our</span> <span m='8170'>products.</span> <span m='9230'>So</span> <span m='9390'>anything</span> <span m='9690'>we</span> <span m='9850'>can</span> <span m='10230'>help</span> <span m='10560'>with</span> <span m='10710'>data.</span> <span m='11220'>So</span> <span m='11390'>for</span> <span m='11490'>example,</span> <span m='11810'>if</span> <span m='11900'>the</span> <span m='11980'>websites,</span> <span m='12490'>the</span> <span m='12580'>traffic</span> <span m='12870'>coming</span> <span m='13150'>in,</span> <span m='14680'>what</span> <span m='14800'>people</span> <span m='15000'>are</span> <span m='15120'>doing,</span> <span m='15900'>what are</span> <span m='16190'>they</span> <span m='16290'>looking</span> <span m='16630'>at,</span> <span m='16830'>how</span> <span m='16970'>can</span> <span m='17070'>we</span> <span m='17220'>improve</span> <span m='17510'>the</span> <span m='17580'>experience?</span> </p><p><span m='18170'>I</span> <span m='18580'>actually</span> <span m='18860'>went</span> <span m='19030'>to</span> <span m='19400'>Cal,</span> <span m='19620'>which</span> <span m='19730'>is</span> <span m='20740'>right</span> <span m='20900'>here.</span> <span m='21360'>I</span> <span m='22020'>finished</span> <span m='22360'>my</span> <span m='22710'>undergrad</span> <span m='23420'>for</span> <span m='24410'>statistics</span> <span m='25010'>and</span> <span m='26220'>my</span> <span m='26380'>bachelor's</span> <span m='26680'>as</span> <span m='26940'>well as</span> <span m='27150'>my</span> <span m='27240'>master's.</span> <span m='28100'>And</span> <span m='28480'>from</span> <span m='28650'>there,</span> <span m='28970'>I</span> <span m='29110'>worked</span> <span m='29480'>for</span> <span m='30020'>a</span> <span m='30310'>market</span> <span m='30590'>research</span> <span m='30890'>company</span> <span m='31210'>called</span> <span m='31340'>Comsquared.</span> <span m='32479'>And</span> <span m='32820'>then</span> <span m='32960'>I</span> <span m='32980'>worked</span> <span m='33240'>for</span> <span m='33360'>Electronic</span> <span m='33820'>Arts,</span> <span m='34250'>and</span> <span m='34780'>eventually I</span> <span m='35240'>landed</span> <span m='35610'>at</span> <span m='35750'>LinkedIn</span> <span m='36210'>actually</span> <span m='36830'>not</span> <span m='37110'>too</span> <span m='37220'>long</span> <span m='37380'>ago</span> <span m='37540'>in</span> <span m='37610'>November.</span> </p><p><span m='38100'>I</span> <span m='38370'>wasn't</span> <span m='38860'>sure</span> <span m='39160'>how</span> <span m='39870'>demanding</span> <span m='40510'>the</span> <span m='40960'>job</span> <span m='41110'>market</span> <span m='41410'>is</span> <span m='41560'>for</span> <span m='42170'>a</span> <span m='42330'>specialist</span> <span m='42840'>in</span> <span m='42930'>data,</span> <span m='44940'>until</span> <span m='45280'>I</span> <span m='45550'>actually</span> <span m='45570'>graduated.</span> <span m='46190'>When</span> <span m='46340'>I</span> <span m='46690'>first</span> <span m='46980'>started</span> <span m='47290'>school,</span> <span m='47430'>it wasn't</span> <span m='47760'>as</span> <span m='47950'>popular</span> <span m='48160'>as it is</span> <span m='48500'>right</span> <span m='48650'>now.</span> <span m='48810'>So</span> <span m='49470'>I</span> <span m='49570'>got</span> <span m='49740'>really</span> <span m='49960'>lucky.</span> <span m='50900'>But</span> <span m='51330'>after</span> <span m='51670'>all,</span> <span m='52130'>it's</span> <span m='52320'>just</span> <span m='52590'>something</span> <span m='52880'>that</span> <span m='53020'>I</span> <span m='53130'>always</span> <span m='53430'>wanted</span> <span m='53660'>to</span> <span m='53760'>do,</span> <span m='54030'>always</span> <span m='54310'>liked</span> <span m='54440'>to</span> <span m='54530'>do.</span> <span m='54800'>And I</span> <span m='55150'>just</span> <span m='55920'>got very</span> <span m='56000'>lucky</span> <span m='56200'>that</span> <span m='56310'>it</span> <span m='56550'>turns</span> <span m='56750'>out to be</span> <span m='56880'>something</span> <span m='57260'>that</span> <span m='57560'>are</span> <span m='57820'>quite</span> <span m='58260'>demanding.</span> </p><p><span m='58760'>So</span> <span m='59070'>be</span> <span m='59380'>good at</span> <span m='59620'>what</span> <span m='60510'>you</span> <span m='60670'>do,</span> <span m='60840'>and</span> <span m='60990'>also</span> <span m='61200'>be</span> <span m='61410'>interested</span> <span m='61800'>in what</span> <span m='61950'>you</span> <span m='62010'>what.</span> <span m='62580'>I</span> <span m='62880'>think</span> <span m='63230'>if you're</span> <span m='63310'>interested</span> <span m='63460'>in what</span> <span m='63630'>you</span> <span m='63710'>do,</span> <span m='64060'>you</span> <span m='64410'>eventually</span> <span m='64720'>get</span> <span m='64860'>better.</span> <span m='65319'>Of</span> <span m='65640'>course,</span> <span m='65840'>education</span> <span m='66260'>is</span> <span m='66360'>a</span> <span m='66400'>big</span> <span m='66580'>part.</span> <span m='67550'>And</span> <span m='67990'>from</span> <span m='68260'>there</span> <span m='68490'>on,</span> <span m='68700'>you</span> <span m='68800'>just</span> <span m='69040'>kind</span> <span m='69230'>of</span> <span m='70160'>find</span> <span m='71250'>what</span> <span m='71440'>your</span> <span m='71580'>calling</span> <span m='71920'>is.</span> <span m='72090'>And</span> <span m='72310'>I</span> <span m='72390'>guess,</span> <span m='72650'>for</span> <span m='72770'>me,</span> <span m='72960'>it</span> <span m='73110'>has</span> <span m='73320'>to</span> <span m='73380'>do</span> <span m='73490'>with</span> <span m='73590'>numbers</span> <span m='73950'>and</span> <span m='74040'>data.</span> <span m='74750'>Yeah,</span> <span m='75760'>just</span> <span m='76290'>keep</span> <span m='76440'>working</span> <span m='76760'>towards</span> <span m='77070'>it.</span> <span m='77320'>And</span> <span m='77600'>eventually</span> <span m='77865'>you</span> <span m='78130'>get</span> <span m='78360'>to</span> <span m='79510'>[INAUDIBLE]</span> <span m='79850'>with a</span> <span m='79920'>company that</span> <span m='80220'>you're</span> <span m='80520'>interested</span> <span m='80820'>in.</span> </p>","file":{"id":331604,"video_id":"2996756880001","name":"1727-Tony-p-DataScientist","duration":81688,"thumbnail_url":null}});