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

data scientisttometeorologist

A data scientist already meets 65% of what the meteorologist role asks for. The move turns on 10 required skills not yet in the profile.

From data scientist
65%
Overlap1
To meteorologist
35 Skills carried over
10 Required, not held
47.6 Difficulty2
Career overlap Strong match

65%

Learning distance Real move, short list to learn

47.6/ 100

1 Share of the meteorologist 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.

Why

Why this move works

A meteorologist role treats 30 of its required skills as things a data scientist already does. These are the ones it depends on most.

  • apply for research funding
  • apply research ethics and scientific integrity principles in research activities
  • communicate with a non-scientific audience
  • conduct research across disciplines
  • demonstrate disciplinary expertise
  • develop professional network with researchers and scientists

What stands in the way is 10 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 35 skills that carry over, these are the ones fewest other occupations ask for. A meteorologist 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 quantitative analysis social sciences, journalism and information
  • already held mathematical modelling natural sciences, mathematics and statistics
  • already held execute analytical mathematical calculations information skills
  • already held statistics natural sciences, mathematics and statistics
  • already held manage findable accessible interoperable and reusable data information skills
  • already held think abstractly communication, collaboration and creativity

All 35 carried skills, including the 30 the meteorologist role treats as required.

Table 3

Table 3 · What you would need to learn

The 30 missing skills fall into 6 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 7 required, 5 supplementary
  • required, not held carry out meteorological research required
  • required, not held review meteorological forecast data required
  • required, not held use meteorological tools to forecast meteorological conditions required
  • required, not held analyse weather forecast required
  • required, not held apply scientific methods required
  • required, not held apply statistical analysis techniques required
  • required, not held use specialised computer models for weather forecasting required
  • optional, not held collect weather-related data optional
  • optional, not held conduct research on climate processes optional
  • optional, not held develop models for weather forecast optional
  • optional, not held manage meteorological database optional
  • optional, not held study aerial photos optional
02 natural sciences, mathematics and statistics 3 required, 4 supplementary
  • required, not held climatology required
  • required, not held mathematics required
  • required, not held meteorology required
  • optional, not held geographic information systems optional
  • optional, not held hydrology optional
  • optional, not held geography optional
  • optional, not held oceanography optional
03 communication, collaboration and creativity 6 supplementary
  • optional, not held present during live broadcasts optional
  • optional, not held assist scientific research optional
  • optional, not held create weather maps optional
  • optional, not held design graphics optional
  • optional, not held design scientific equipment optional
  • optional, not held write weather briefing optional
04 working with machinery and specialised equipment 3 supplementary
  • optional, not held calibrate electronic instruments optional
  • optional, not held operate meteorological instruments optional
  • optional, not held operate remote sensing equipment optional
05 education 1 supplementary
  • optional, not held scientific research methodology optional
06 working with computers 1 supplementary
  • optional, not held use geographic information systems optional
Table 4

Table 4 · Where to start

The 3 entries a meteorologist 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 35 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 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 speak different languages skill
  • already held synthesise information skill
  • already held think abstractly skill
  • already held write scientific publications skill
  • already held apply blended learning skill
  • already held mathematical modelling knowledge
  • already held quantitative analysis knowledge
  • already held statistics knowledge
  • already held teach in academic or vocational contexts skill
20 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held geographic information systems optional
  • optional, not held hydrology optional
  • optional, not held present during live broadcasts optional
  • optional, not held use geographic information systems optional
  • optional, not held assist scientific research optional
  • optional, not held calibrate electronic instruments optional
  • optional, not held collect weather-related data optional
  • optional, not held conduct research on climate processes optional
  • optional, not held create weather maps optional
  • optional, not held design graphics optional
  • optional, not held design scientific equipment optional
  • optional, not held develop models for weather forecast optional
  • optional, not held geography optional
  • optional, not held manage meteorological database optional
  • optional, not held oceanography optional
  • optional, not held operate meteorological instruments optional
  • optional, not held operate remote sensing equipment optional
  • optional, not held scientific research methodology optional
  • optional, not held study aerial photos optional
  • optional, not held write weather briefing optional
62 held skills the meteorologist 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 empirical analysis 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

22 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 climatology required
  • required, not held mathematics required
  • required, not held meteorology required
  • optional, not held geographic information systems optional
  • optional, not held hydrology optional
  • optional, not held geography optional
  • optional, not held oceanography optional
  • optional, not held scientific research methodology 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.