Table 1Transition record

data scientisttodemographer

A data scientist already meets 72% of what the demographer role asks for. The move turns on 9 required skills not yet in the profile.

From data scientist

72%

Overlap1

To demographer

40 Skills carried over

9 Required, not held

41.2 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 41.2

This move: 41.2 of 100 · moderate

1 Share of the demographer role’s weighted skill requirement already met by the data scientist profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Table 2

Table 2 · What you already bring

Of the 40 skills that carry over, these are the ones fewest other occupations ask for. A demographer role needs them, and most people applying for one will not have them already. This is the part of a data scientist background worth leading with.

Skill the target role also needs Area

already held empirical analysis generic programmes and qualifications
already held use data processing techniques working with computers
already held quantitative analysis social sciences, journalism and information
already held multidisciplinary research generic programmes and qualifications
already held research design generic programmes and qualifications
already held scientific literature generic programmes and qualifications

All 40 carried skills, including the 35 the demographer role treats as required.

Table 3

Table 3 · What you would need to learn

The 24 missing skills fall into 8 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 information skills 4 required, 6 supplementary

required, not held forecast human population trends required
required, not held apply scientific methods required
required, not held apply statistical analysis techniques required
required, not held study human population required

optional, not held develop scientific theories optional
optional, not held monitor sociological trends optional
optional, not held conduct public surveys optional
optional, not held find trends in geographic data optional
optional, not held manage database optional
optional, not held perform market research optional

02 natural sciences, mathematics and statistics 2 required

required, not held geography required
required, not held mathematics required

03 social sciences, journalism and information 1 required, 1 supplementary

required, not held demography required

optional, not held sociology optional

04 working with computers 1 required, 1 supplementary

required, not held digital data processing required

optional, not held apply digital mapping optional

05 education 1 required

required, not held scientific research methodology required

06 communication, collaboration and creativity 4 supplementary

optional, not held advise legislators optional
optional, not held interview focus groups optional
optional, not held teach geography optional
optional, not held write research proposals optional

2 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a demographer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 40 skills that carry over

Skill Type

already held apply for research funding skill
already held apply research ethics and scientific integrity principles in research activities skill
already held communicate with a non-scientific audience skill
already held conduct research across disciplines skill
already held demonstrate disciplinary expertise skill
already held develop professional network with researchers and scientists skill
already held disseminate results to the scientific community skill
already held draft scientific or academic papers and technical documentation skill
already held empirical analysis knowledge
already held evaluate research activities skill
already held execute analytical mathematical calculations skill
already held increase the impact of science on policy and society skill
already held integrate gender dimension in research skill
already held interact professionally in research and professional environments skill
already held manage findable accessible interoperable and reusable data skill
already held manage intellectual property rights skill
already held manage open publications skill
already held manage personal professional development skill
already held manage research data skill
already held mentor individuals skill
already held operate open source software skill
already held perform project management skill
already held perform scientific research skill
already held promote open innovation in research skill
already held promote the participation of citizens in scientific and research activities skill
already held promote the transfer of knowledge skill
already held publish academic research skill
already held research design knowledge
already held scientific literature knowledge
already held speak different languages skill
already held statistics knowledge
already held synthesise information skill
already held think abstractly skill
already held use data processing techniques skill
already held write scientific publications skill
already held apply blended learning skill
already held multidisciplinary research knowledge
already held quantitative analysis knowledge
already held teach in academic or vocational contexts skill
already held use spreadsheets software skill

The 2 learning areas not shown above

Skill to acquire Tier

07 engineering, manufacturing and construction 2 supplementary

optional, not held spatial planning optional
optional, not held urban planning optional

08 information and communication technologies (icts) 1 supplementary

optional, not held scientific modelling optional

15 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held develop scientific theories optional
optional, not held monitor sociological trends optional
optional, not held spatial planning optional
optional, not held advise legislators optional
optional, not held apply digital mapping optional
optional, not held conduct public surveys optional
optional, not held find trends in geographic data optional
optional, not held interview focus groups optional
optional, not held manage database optional
optional, not held perform market research optional
optional, not held scientific modelling optional
optional, not held sociology optional
optional, not held teach geography optional
optional, not held urban planning optional
optional, not held write research proposals optional

57 held skills the demographer role does not ask for

Skill Type

not needed by the target role Hadoop knowledge
not needed by the target role LDAP knowledge
not needed by the target role LINQ knowledge
not needed by the target role MDX knowledge
not needed by the target role N1QL knowledge
not needed by the target role SPARQL knowledge
not needed by the target role XQuery knowledge
not needed by the target role build recommender systems skill
not needed by the target role business analytics knowledge
not needed by the target role business intelligence knowledge
not needed by the target role collect ICT data skill
not needed by the target role computational biology knowledge
not needed by the target role computer simulation knowledge
not needed by the target role create data models skill
not needed by the target role data engineering knowledge
not needed by the target role data ethics knowledge
not needed by the target role data mining knowledge
not needed by the target role data models knowledge
not needed by the target role data quality assessment knowledge
not needed by the target role data science knowledge
not needed by the target role data visualisation software knowledge
not needed by the target role define data quality criteria skill
not needed by the target role deliver visual presentation of data skill
not needed by the target role design database in the cloud skill
not needed by the target role design database scheme skill
not needed by the target role develop data processing applications skill
not needed by the target role digital curation knowledge
not needed by the target role establish data processes skill
not needed by the target role handle data samples skill
not needed by the target role healthcare analytics knowledge
not needed by the target role image recognition knowledge
not needed by the target role implement data quality processes skill
not needed by the target role information categorisation knowledge
not needed by the target role information extraction knowledge
not needed by the target role integrate ICT data skill
not needed by the target role interpret current data skill
not needed by the target role make data-driven decisions skill
not needed by the target role manage ICT data architecture skill
not needed by the target role manage ICT data classification skill
not needed by the target role manage data skill

17 further entries not listed here

8 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to acquire Tier

required, not held demography required
required, not held geography required
required, not held mathematics required
required, not held scientific research methodology required
optional, not held spatial planning optional
optional, not held scientific modelling optional
optional, not held sociology optional
optional, not held urban planning optional

Index

Other moves recorded from data scientist

Full index of moves from data scientist

Note

How this record was compiled

Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.