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April 21 2018  SpanishSpanish

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Oferta de empleo: Senior Data Scientist:IBM

La descripción del trabajo.:

Empleo:

Senior Data Scientist

Job ID : 161553049
Job Views : 32
Location: LISBOA, , Portugal
Job Category:
Employment Type: Full time
Salary:

Job Description

**Job Description**

Data science employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, chemometrics, information science, and computer science, including signal processing, probability models, machine lea
ing, statistical lea
ing, data mining, database, data engineering, patte
recognition and lea
ing, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, artificial intelligence, and high performance computing.

You will use methodologies that scale to Big Data are of particular interest in data science, although the discipline is not generally considered to be restricted to such big data, and big data solutions are often focused on organizing and preprocessing the data instead of analysis. The development of machine lea
ing has enhanced the growth and importance of data science. Data science utilizes data preparation, statistics, predictive modeling and machine lea
ing to investigate problems in various domains such as healthcare, retail, marketing optimization, fraud detection, risk management, marketing analytics, public policy and agriculture. It emphasizes the use of methods such as machine lea
ing that apply without changes to multiple domains. This approach differs from traditional statistics with its emphasis on domain-specific knowledge and solutions. Professionals in this field use their data and analytical ability to find and interpret rich data sources; manage large amounts of data despite hardware, software, and bandwidth constraints; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings. They are often expected to produce answers in days rather than months, work by exploratory analysis and rapid iteration, and to get/present results with dashboards.

Data Scientists convert business problems into an analytics solution using their consulting skills, business knowledge to analyze client business issues, formulate hypotheses and test conclusions to determine appropriate solutions methods. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization. A data scientist is effective at deploying an analytics solution, thereby realizing business value. Whereas a traditional data analyst may look only at data from a single source ? a CRM system, for example ? a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in tu
can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data. Data scientists are inquisitive: exploring, asking questions, doing "what if" analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure.

You will deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Responsibilities include working with business leaders to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Skills include mathematical optimization, discrete-event simulation, rules programming and predictive analytics

**Required Technical and Professional Expertise**

At least 10 years of experience in Analytics

Knowledge in mathematical optimization, discrete-event simulation, rules programming and predictive analytics.

Technical Knowledge: CPLEX, ODM, Anylogic, Arena, SPSS, SAS, R, and Python.

**Preferred Tech and Prof Experience**

-

**EO Statement**

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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Categorí­a del Empleo: Otras [ Ver todos Otras  ]
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Tipo de Empleo:
Sueldo: No especificado
Titulación: Sin especificar
Experiencia: No especificado
Localización del Empleo: otro
Tipo de empresa Empleador
Día de envío: 2018/04/16 / Viewed 1 times
Información de Contacto
Empresa: IBM


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