statisticiantomathematician
A statistician already meets 77% of what the mathematician role asks for. The move turns on 7 required skills not yet in the profile.
77%
37.8/ 100
1 Share of the mathematician role’s weighted skill requirement already met by the statistician 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 this move works
A mathematician role treats 37 of its required skills as things a statistician 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
- communicate with a non-scientific audience
- conduct quantitative research
- conduct research across disciplines
What stands in the way is 7 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 55 skills that carry over, these are the ones fewest other occupations ask for. A mathematician role needs them, and most people applying for one will not have them already. This is the part of a statistician background worth leading with.
- 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 37 the mathematician role treats as required.
Table 3 · What you would need to learn
The 25 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.
- required, not held Monte Carlo simulation required
- required, not held algebra required
- required, not held numerical sequences required
- optional, not held philosophy of mathematics optional
- optional, not held mathematical physics optional
- optional, not held geometry optional
- required, not held communicate mathematical information required
- required, not held create solutions to problems required
- optional, not held create software design optional
- optional, not held perform lectures optional
- required, not held scientific modelling required
- optional, not held SAS language optional
- optional, not held quantum computing optional
- optional, not held supercomputing optional
- optional, not held computer science optional
- required, not held study the relationships between quantities required
- optional, not held metalogic optional
- optional, not held logic optional
- optional, not held philosophy optional
- optional, not held mechanical engineering optional
- optional, not held instrumentation engineering optional
4 further areas in the appendix
Table 4 · Where to start
The 3 entries a mathematician role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 Monte Carlo simulation knowledge · cross sector
- 02 algebra knowledge · cross sector
- 03 communicate mathematical information skill · cross sector
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 55 skills that carry over
- 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 communicate with a non-scientific audience skill
- already held conduct quantitative research 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 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 scientific research methodology knowledge
- already held speak different languages skill
- 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 apply statistical analysis techniques skill
- already held assist scientific research skill
- already held carry out statistical forecasts skill
- already held computer simulation knowledge
- already held data science 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 quantitative analysis knowledge
- already held set theory knowledge
- already held statistical analysis system software knowledge
- already held statistical modeling techniques knowledge
- already held teach in academic or vocational contexts skill
- already held use spreadsheets software skill
The 4 learning areas not shown above
- optional, not held operational research optional
- optional, not held empirical analysis optional
- optional, not held mathematical economics optional
- optional, not held use software tools for site modelling optional
18 supplementary skills, helpful but not required
- optional, not held metalogic optional
- optional, not held philosophy of mathematics optional
- optional, not held SAS language optional
- optional, not held create software design optional
- optional, not held mathematical economics optional
- optional, not held mathematical physics optional
- optional, not held mechanical engineering optional
- optional, not held perform lectures optional
- optional, not held quantum computing optional
- optional, not held supercomputing optional
- optional, not held use software tools for site modelling optional
- optional, not held computer science optional
- optional, not held empirical analysis optional
- optional, not held geometry optional
- optional, not held instrumentation engineering optional
- optional, not held logic optional
- optional, not held operational research optional
- optional, not held philosophy optional
30 held skills the mathematician role does not ask for
- not needed by the target role advise on financial matters skill
- not needed by the target role advise on legislative acts skill
- not needed by the target role analyse big data skill
- not needed by the target role biometrics knowledge
- not needed by the target role build predictive models skill
- not needed by the target role conduct public surveys skill
- not needed by the target role data ethics knowledge
- not needed by the target role data quality assessment knowledge
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role demography knowledge
- not needed by the target role design questionnaires skill
- not needed by the target role gather data skill
- not needed by the target role healthcare analytics knowledge
- not needed by the target role identify statistical patterns skill
- not needed by the target role information confidentiality knowledge
- not needed by the target role manage database skill
- not needed by the target role manage quantitative data skill
- not needed by the target role market research knowledge
- not needed by the target role marketing analytics knowledge
- not needed by the target role multidisciplinary research knowledge
- not needed by the target role opinion poll knowledge
- not needed by the target role perform data analysis skill
- not needed by the target role plan research process skill
- not needed by the target role present reports skill
- not needed by the target role process data skill
- not needed by the target role research design knowledge
- not needed by the target role scientific literature knowledge
- not needed by the target role social network analysis knowledge
- not needed by the target role use mathematical tools and equipment skill
- not needed by the target role write research proposals skill
19 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- required, not held Monte Carlo simulation required
- required, not held algebra required
- required, not held numerical sequences required
- required, not held scientific modelling required
- optional, not held metalogic optional
- optional, not held philosophy of mathematics optional
- optional, not held SAS language optional
- optional, not held mathematical economics optional
- optional, not held mathematical physics optional
- optional, not held mechanical engineering optional
- optional, not held quantum computing optional
- optional, not held supercomputing optional
- optional, not held computer science optional
- optional, not held empirical analysis optional
- optional, not held geometry optional
- optional, not held instrumentation engineering optional
- optional, not held logic optional
- optional, not held operational research optional
- optional, not held philosophy optional
Other moves recorded from statistician
- biometrician 80% covered · moderate
- astronomer 76% covered · moderate
- seismologist 76% covered · moderate
- religion scientific researcher 75% covered · moderate
- thanatology researcher 74% covered · moderate
- meteorologist 73% covered · moderate
- oceanographer 72% covered · moderate
- university research assistant 71% covered · moderate
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.