Career Overlap Transition record Edition 1 · ESCO v1.2.1
Table 1Transition record

mathematiciantostatistician

A mathematician already meets 75% of what the statistician role asks for. The move turns on 8 required skills not yet in the profile.

From mathematician
75%
Overlap1
To statistician
55 Skills carried over
8 Required, not held
40.1 Difficulty2
Career overlap Strong match

75%

Learning distance Real move, short list to learn

40.1/ 100

1 Share of the statistician role’s weighted skill requirement already met by the mathematician 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.

Why

Why this move works

A statistician role treats 42 of its required skills as things a mathematician already does. These are the ones it depends on most.

  • apply for research funding
  • apply research ethics and scientific integrity principles in research activities
  • apply scientific methods
  • apply statistical analysis techniques
  • communicate with a non-scientific audience
  • conduct quantitative research

What stands in the way is 8 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

Table 2 · What you already bring

Of the 55 skills that carry over, these are the ones fewest other occupations ask for. A statistician role needs them, and most people applying for one will not have them already. This is the part of a mathematician background worth leading with.

Skill the target role also needs Area
  • already held set theory natural sciences, mathematics and statistics
  • already held develop statistical software working with computers
  • already held statistical modeling techniques natural sciences, mathematics and statistics
  • already held algorithms information and communication technologies (icts)
  • already held data science information and communication technologies (icts)
  • already held quantitative analysis social sciences, journalism and information

All 55 carried skills, including the 42 the statistician role treats as required.

Table 3

Table 3 · What you would need to learn

The 30 missing skills fall into 10 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 3 required, 7 supplementary
  • required, not held gather data required
  • required, not held identify statistical patterns required
  • required, not held process data required
  • optional, not held build predictive models optional
  • optional, not held plan research process optional
  • optional, not held analyse big data optional
  • optional, not held conduct public surveys optional
  • optional, not held design questionnaires optional
  • optional, not held manage database optional
  • optional, not held use mathematical tools and equipment optional
02 generic programmes and qualifications 2 required, 1 supplementary
  • required, not held research design required
  • required, not held scientific literature required
  • optional, not held multidisciplinary research optional
03 business, administration and law 1 required, 2 supplementary
  • required, not held data quality assessment required
  • optional, not held market research optional
  • optional, not held marketing analytics optional
04 working with computers 1 required, 1 supplementary
  • required, not held perform data analysis required
  • optional, not held manage quantitative data optional
05 arts and humanities 1 required
  • required, not held data ethics required
06 communication, collaboration and creativity 5 supplementary
  • optional, not held advise on financial matters optional
  • optional, not held advise on legislative acts optional
  • optional, not held deliver visual presentation of data optional
  • optional, not held present reports optional
  • optional, not held write research proposals optional

4 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a statistician 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 55 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 apply scientific methods skill
  • already held apply statistical analysis techniques skill
  • already held communicate with a non-scientific audience skill
  • already held conduct quantitative research skill
  • already held conduct research across disciplines skill
  • already held data science knowledge
  • already held demonstrate disciplinary expertise skill
  • already held develop professional network with researchers and scientists skill
  • already held digital data processing skill
  • already held disseminate results to the scientific community skill
  • already held draft scientific or academic papers and technical documentation skill
  • 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 mathematical modelling knowledge
  • already held mathematics knowledge
  • 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 quantitative analysis knowledge
  • already held scientific research methodology knowledge
  • already held speak different languages skill
  • already held statistical analysis system software knowledge
  • already held statistical modeling techniques knowledge
  • already held statistics knowledge
  • already held synthesise information skill
  • already held think abstractly skill
  • already held write scientific publications skill
  • already held algorithms knowledge
  • already held apply blended learning skill
  • already held assist scientific research skill
  • already held carry out statistical forecasts skill
  • already held computer simulation knowledge
  • already held develop financial statistics reports skill
  • already held develop scientific theories skill
  • already held develop statistical software skill
  • already held prepare lesson content skill
  • already held provide lesson materials skill
  • already held set theory knowledge
  • already held teach in academic or vocational contexts skill
  • already held use spreadsheets software skill
The 4 learning areas not shown above
Skill to acquire Tier
07 social sciences, journalism and information 3 supplementary
  • optional, not held demography optional
  • optional, not held opinion poll optional
  • optional, not held social network analysis optional
08 health and welfare 1 supplementary
  • optional, not held healthcare analytics optional
09 information and communication technologies (icts) 1 supplementary
  • optional, not held information confidentiality optional
10 natural sciences, mathematics and statistics 1 supplementary
  • optional, not held biometrics optional
22 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held build predictive models optional
  • optional, not held healthcare analytics optional
  • optional, not held information confidentiality optional
  • optional, not held plan research process optional
  • optional, not held advise on financial matters optional
  • optional, not held advise on legislative acts optional
  • optional, not held analyse big data optional
  • optional, not held biometrics optional
  • optional, not held conduct public surveys optional
  • optional, not held deliver visual presentation of data optional
  • optional, not held demography optional
  • optional, not held design questionnaires optional
  • optional, not held manage database optional
  • optional, not held manage quantitative data optional
  • optional, not held market research optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held opinion poll optional
  • optional, not held present reports optional
  • optional, not held social network analysis optional
  • optional, not held use mathematical tools and equipment optional
  • optional, not held write research proposals optional
25 held skills the statistician role does not ask for
Skill Type
  • not needed by the target role Monte Carlo simulation knowledge
  • not needed by the target role SAS language knowledge
  • not needed by the target role algebra knowledge
  • not needed by the target role communicate mathematical information skill
  • not needed by the target role computer science knowledge
  • not needed by the target role create software design skill
  • not needed by the target role create solutions to problems skill
  • not needed by the target role empirical analysis knowledge
  • not needed by the target role geometry knowledge
  • not needed by the target role instrumentation engineering knowledge
  • not needed by the target role logic knowledge
  • not needed by the target role mathematical economics knowledge
  • not needed by the target role mathematical physics knowledge
  • not needed by the target role mechanical engineering knowledge
  • not needed by the target role metalogic knowledge
  • not needed by the target role numerical sequences knowledge
  • not needed by the target role operational research knowledge
  • not needed by the target role perform lectures skill
  • not needed by the target role philosophy knowledge
  • not needed by the target role philosophy of mathematics knowledge
  • not needed by the target role quantum computing knowledge
  • not needed by the target role scientific modelling knowledge
  • not needed by the target role study the relationships between quantities skill
  • not needed by the target role supercomputing knowledge
  • not needed by the target role use software tools for site modelling skill
13 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 data quality assessment required
  • required, not held data ethics required
  • required, not held research design required
  • required, not held scientific literature required
  • optional, not held healthcare analytics optional
  • optional, not held information confidentiality optional
  • optional, not held biometrics optional
  • optional, not held demography optional
  • optional, not held market research optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held opinion poll optional
  • optional, not held social network analysis optional
Index

Other moves recorded from mathematician

Full index of moves from mathematician

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.