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DATA SCIENTIST, IN-DEPTH: I Can Answer Question Using Data

About this video 

Tony, a Data Scientist, describes what he likes best about his job, its challenges, how difficult it is to find work in his field and his work-life balance. Deciding to pursue higher education and getting a Masters in his field turned out to be helpful in his career.

Degree: Statistics
Job Title: Data Scientist
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


Quick Facts

Average salary
Average salary
National Statistic Change Location
$40,000 - $120,000
Projected job growth
Projected Job Growth
12 to 16 percent
Typical schedule
Typical schedule
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='0'>It's</span> <span m='390'>very</span> <span m='780'>impactful</span> <span m='1170'>In</span> <span m='1340'>terms</span> <span m='1590'>of</span> <span m='1710'>the</span> <span m='1790'>business</span> <span m='2070'>that</span> <span m='2200'>we</span> <span m='2300'>have.</span> <span m='2720'>A</span> <span m='3030'>lot</span> <span m='3310'>of</span> <span m='3400'>the</span> <span m='3500'>things</span> <span m='4140'>leading</span> <span m='4540'>towards</span> <span m='5890'>trying</span> <span m='6130'>to</span> <span m='6210'>answer</span> <span m='6600'>questions</span> <span m='6900'>with</span> <span m='7020'>data,</span> <span m='7380'>like I was</span> <span m='7670'>saying</span> <span m='7920'>earlier.</span> <span m='8920'>And</span> <span m='9600'>that's</span> <span m='9840'>exactly</span> <span m='10210'>what</span> <span m='10340'>I</span> <span m='10390'>can</span> <span m='10730'>do.</span> <span m='11290'>So</span> <span m='11590'>it's</span> <span m='12250'>always</span> <span m='12510'>good</span> <span m='12670'>to</span> <span m='12780'>see</span> <span m='13100'>that</span> <span m='13440'>the</span> <span m='13970'>decisions</span> <span m='14320'>you</span> <span m='14430'>help</span> <span m='14760'>make</span> <span m='15050'>are</span> <span m='15300'>impacting</span> <span m='15790'>the</span> <span m='15880'>company</span> <span m='16300'>in</span> <span m='16390'>a</span> <span m='16440'>big</span> <span m='16620'>way.</span> </p><p><span m='16870'>I</span> <span m='16940'>think</span> <span m='17130'>just</span> <span m='17340'>to</span> <span m='17470'>be</span> <span m='17760'>able</span> <span m='17870'>to</span> <span m='17940'>work</span> <span m='18250'>with</span> <span m='18370'>all</span> <span m='18460'>the</span> <span m='18540'>different</span> <span m='18860'>teams</span> <span m='19190'>all at</span> <span m='19420'>the</span> <span m='19470'>same</span> <span m='19720'>time,</span> <span m='20850'>but</span> <span m='21190'>that</span> <span m='21410'>takes</span> <span m='21640'>practice.</span> <span m='23441'>But</span> <span m='23860'>when</span> <span m='23960'>everybody's</span> <span m='24390'>willing</span> <span m='24690'>to</span> <span m='24770'>listen</span> <span m='25230'>and</span> <span m='25510'>communicate</span> <span m='25790'>with each</span> <span m='26070'>other,</span> <span m='26630'>it's</span> <span m='26800'>not</span> <span m='27020'>too</span> <span m='27200'>bad.</span> <span m='27650'>Of</span> <span m='27870'>course,</span> <span m='28060'>there</span> <span m='28260'>are off</span> <span m='28410'>days</span> <span m='28760'>where</span> <span m='29240'>it's</span> <span m='29470'>a</span> <span m='29510'>little</span> <span m='29650'>more</span> <span m='29790'>difficult.</span> <span m='30320'>But</span> <span m='30680'>all in</span> <span m='31090'>all,</span> <span m='32259'>that</span> <span m='32490'>would</span> <span m='32590'>be</span> <span m='32740'>the</span> <span m='32850'>most</span> <span m='33320'>challenging</span> <span m='33710'>and</span> <span m='33910'>the most</span> <span m='34070'>interesting</span> <span m='34390'>part</span> <span m='34580'>of</span> <span m='34620'>my</span> <span m='34750'>job,</span> <span m='34980'>is</span> <span m='35060'>to be</span> <span m='35130'>working</span> <span m='35280'>with</span> <span m='35340'>all different</span> <span m='35650'>people.</span> </p><p><span m='36810'>Definitely</span> <span m='37290'>to</span> <span m='37390'>pursue</span> <span m='38000'>education</span> <span m='38550'>and</span> <span m='38600'>higher</span> <span m='38820'>education.</span> <span m='41470'>When</span> <span m='41860'>I</span> <span m='41890'>finished</span> <span m='42150'>my</span> <span m='42260'>bachelor's,</span> <span m='42600'>I</span> <span m='42680'>decided</span> <span m='43050'>to</span> <span m='43250'>go home</span> <span m='43575'>for my</span> <span m='43900'>master's.</span> <span m='45270'>In</span> <span m='45550'>retrospect,</span> <span m='45870'>it</span> <span m='45930'>would</span> <span m='46090'>have</span> <span m='46180'>been</span> <span m='46340'>OK.</span> <span m='46930'>But</span> <span m='47290'>since</span> <span m='47590'>that</span> <span m='47760'>is</span> <span m='47920'>what</span> <span m='48060'>I</span> <span m='48140'>like</span> <span m='48300'>to</span> <span m='48670'>do,</span> <span m='48980'>getting</span> <span m='49230'>a</span> <span m='49280'>master's</span> <span m='49670'>in</span> <span m='49750'>my</span> <span m='50030'>field</span> <span m='50360'>was</span> <span m='50600'>very</span> <span m='50750'>helpful.</span> </p><p><span m='51460'>It</span> <span m='51590'>is</span> <span m='52670'>getting</span> <span m='52970'>better</span> <span m='53470'>in</span> <span m='53630'>terms</span> <span m='53890'>of</span> <span m='54000'>job</span> <span m='54180'>market.</span> <span m='55230'>But as</span> <span m='55380'>long as</span> <span m='55580'>you're</span> <span m='55680'>good</span> <span m='55890'>at</span> <span m='55970'>what</span> <span m='56110'>you</span> <span m='56590'>do,</span> <span m='56925'>there</span> <span m='57260'>will</span> <span m='57620'>always</span> <span m='57920'>be</span> <span m='58040'>a</span> <span m='58070'>job</span> <span m='58300'>for</span> <span m='58390'>you.</span> <span m='58550'>My</span> <span m='58850'>work/life</span> <span m='59400'>balance</span> <span m='59530'>has</span> <span m='59690'>actually</span> <span m='60130'>been</span> <span m='60660'>fairly</span> <span m='60980'>good.</span> <span m='61280'>I</span> <span m='61530'>was</span> <span m='61740'>able</span> <span m='62020'>to</span> <span m='62530'>leave</span> <span m='63030'>work</span> <span m='63210'>at</span> <span m='63320'>a</span> <span m='63630'>decent</span> <span m='63900'>time,</span> <span m='64620'>whatever</span> <span m='64980'>that</span> <span m='65099'>might</span> <span m='65280'>be</span> <span m='65370'>nowadays.</span> <span m='66540'>And</span> <span m='66870'>I</span> <span m='66890'>was</span> <span m='67060'>able</span> <span m='67280'>to</span> <span m='67510'>do</span> <span m='67680'>a</span> <span m='67730'>lot</span> <span m='67900'>of</span> <span m='67960'>things</span> <span m='68140'>that I</span> <span m='68170'>like</span> <span m='68420'>to</span> <span m='68510'>do</span> <span m='68760'>outside</span> <span m='69100'>of</span> <span m='69180'>work.</span> <span m='70580'>I do a</span> <span m='70620'>lot</span> <span m='70780'>of</span> <span m='70850'>basketball,</span> <span m='73040'>spending</span> <span m='73340'>time</span> <span m='73560'>with</span> <span m='73620'>my</span> <span m='73890'>family</span> <span m='74270'>and</span> <span m='74650'>friends.</span> <span m='75020'>So</span> <span m='75220'>yeah,</span> <span m='75670'>it's</span> <span m='75950'>actually</span> <span m='76250'>not</span> <span m='76550'>too bad.</span> </p>","file":{"id":331605,"video_id":"2996756886001","name":"1728-Tony-p-DataScientist2 Indepth","duration":77764,"thumbnail_url":null}});