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Typical day-to-day activities and in-demand skill sets for Data Scientists include:

• Perform data-mining, modeling and hypothesis generation in support of high-level business goals.
• Stay current with emerging tools and techniques in machine learning, statistical modeling & analytics.
• Successful data scientists often have strong aptitudes for business, technology, mathematics & statistics.
• Need strong oral & written communication skills to present data as a concise story for diverse audiences.
• Big data scientists develop customized algorithms to solve analytical problems with incomplete data sets.
• Big data scientists often use data visualizations, e.g., heat maps, to analyze and present complex trends.
• Many data scientists use Hadoop – an open-source Apache framework – to analyze & mine big data sets.
• Some data scientists have computer programming skills – such as SQL, Python, Unix, PHP, R and Java –
  which they use to modify or develop custom analytical solutions.
• Data scientists often work in a team setting, with managers, IT administrators, programmers, statisticians,
  graphic designers, and experts in the company’s products or services.

• Identificar las diferentes fases que requiere la elaboración de una buena visualización: recogida de datos, procesado y representación.
• Diseñar un método de recogida de datos que consiga mapear en datos concretos una actividad, tarea o proceso.
• Usar las técnicas y herramientas existentes de minería de datos, estadísticas y de visualización de la información.
• Diseñar y desarrollar visualizaciones interactivas, usables y elocuentes.
• Diseñar y desarrollar un sistema para el apoyo a la toma de decisiones, contemplando el proceso completo: recogida de datos, procesado y visualización.

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