8 days old

Senior Data Engineer Advance Analytics

Lisboa, 11 1050-115
  • Job Code
    199029BR

Introduction
At IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our Business Transformation Consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBMs ongoing transformation as a company that continuously innovates and leads the market.


Your Role and Responsibilities
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 learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, 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 learning has enhanced the growth and importance of data science. Data science utilizes data preparation, statistics, predictive modeling and machine learning 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 learning 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 turn 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
Experienced in Data Management / Data Science, Advanced Analytics, Business Intelligence and Data Warehousing; active experience in similar projects between 6 and 8 years


Preferred Technical and Professional Expertise
-


About Business Unit
IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.


Your Life @ IBM
What matters to you when youre looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.


About IBM
BMs greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.


Location Statement
For additional information about location requirements, please discuss with the recruiter following submission of your application.


Being You @ IBM
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.

Categories

Industry

  • Computers Software and Hardware
Posted: 2019-10-09 Expires: 2019-11-08

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Senior Data Engineer Advance Analytics

IBM
Lisboa, 11 1050-115

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