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Why this grade This listing scored 27/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
¿Tienes conocimientos de Estadística y te gustaría compartirlos ayudando a estudiantes a comprender mejor los datos, las probabilidades y el análisis estadístico?
En Tusclasesparticulares buscamos especialistas en Estadística, matemáticos/as, estadísticos/as, economistas, ingenieros/as y profesionales del análisis de datos para impartir clases particulares a estudiantes de diferentes niveles.
Tareas
Impartir clases de Estadística adaptadas al nivel y objetivos de cada alumno.
Explicar conceptos de estadística descriptiva, probabilidad, inferencia estadística, regresión, análisis de datos y otras áreas relacionadas.
Resolver ejercicios y problemas estadísticos paso a paso.
Ayudar a los estudiantes a interpretar datos, gráficos y resultados estadísticos.
Apoyar en trabajos, proyectos, exámenes y asignaturas universitarias.
Preparar ejercicios y materiales personalizados.
Realizar el seguimiento del progreso de los alumnos y adaptar las clases a sus necesidades.
Requisitos
Formación o experiencia en Estadística, Matemáticas, Economía, Ingeniería, Ciencia de Datos o áreas relacionadas.
Se valorará experiencia utilizando herramientas como Excel, R, Python, SPSS u otros programas estadísticos.
No es necesaria experiencia previa impartiendo clases.
Capacidad para explicar conceptos matemáticos y estadísticos de forma clara y práctica.
Beneficios
Horario totalmente flexible.
Posibilidad de teletrabajar impartiendo clases online o combinar con clases presenciales.
Retribución de 15 a 30 €/hora.
Tú decides tu disponibilidad, el número de alumnos y las clases que quieres impartir.
Una excelente oportunidad para compaginar esta actividad con estudios, trabajo o proyectos profesionales.
Originally posted on Himalayas
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Where this listing came from
- 24 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.