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Desarrollador de Software de Ciencia de Datos

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April 13, 2024 Updated June 12, 2024 3 minute read

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¿Aspiras a una carrera en la intersección de la tecnología, los datos y los negocios? ¡El Desarrollador de Software de Ciencia de Datos podría ser la opción perfecta para ti! Estos profesionales altamente especializados combinan habilidades en desarrollo de software, ciencia de datos y análisis para extraer información valiosa de grandes conjuntos de datos. Si te apasiona resolver problemas, aprovechar el poder de los datos y crear soluciones innovadoras, ¡sigue leyendo para descubrir más sobre esta fascinante carrera!

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Salaries for Desarrollador de Software de Ciencia de Datos

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$153,000

$165,000

$251,000

$165,000

San Francisco

$139,000

$162,000

$192,000

$162,000

Seattle

$144,000

$166,000

$204,000

$166,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$153,000

$165,000

$251,000

$165,000

San Francisco

$139,000

$162,000

$192,000

$162,000

Seattle

$144,000

$166,000

$204,000

$166,000

Austin

$109,000

$140,000

$173,000

$140,000

Toronto

$103,000

$124,800

$163,000

$124,800

London

£72,000

£97,000

£134,000

£97,000

Paris

€43,000

€50,000

€58,000

€50,000

Berlin

€66,000

€76,000

€86,000

€76,000

Tel Aviv

₪344,000

₪472,000

₪647,000

₪472,000

Singapore

S$93,000

S$123,000

S$161,000

S$123,000

Beijing

¥446,000

¥640,000

¥894,000

¥640,000

Shanghai

¥180,000

¥268,000

¥365,000

¥268,000

Shenzhen

¥313,000

¥505,000

¥653,000

¥505,000

Bengalaru

₹2,520,000

₹4,340,000

₹8,300,000

₹4,340,000

Delhi

₹2,010,000

₹3,492,000

₹3,740,000

₹3,492,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Desarrollador de Software de Ciencia de Datos

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We've curated one courses to help you on your path to Desarrollador de Software de Ciencia de Datos. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Herramientas para el Análisis de Big Data

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