E N D
Are you looking for a big challenge? Do you know why Big Data is the next frontier for innovation, competition and productivity? Come join us to build infrastructure and services to turn Petabytes of data into metrics and actionable insights that impact millions of customers! You will be part of a very strong and fun team, conducting development, analysis, and experiments, building very large scale data infrastructure, developing advanced and practical data mining, machine learning, statistics, and measurement techniques for solving the hottest and most challenging problems in the world and generating real impact. Opportunity Senior Researcher
Researcher Focus • Extract actionable insights from huge volumes of rich data using data mining, statistics, and database techniques. The goal is to measure/understand user experience, system performance, and business health in order to generate actionable insights that improve recommendation systems and increase user satisfaction. • Work with other teams in Nokia R&D and other partners on identifying problems in different areas where big data can help. Explore and develop solutions to these problems. Act as an expert in the area of data mining/machine learning/statistics to serve the fast growing needs of Nokia products. • Develop techniques/algorithms/measurement for the research and analysis work mentioned above. • Own some of the features/problem spaces in this area and provide technical leadership to junior team members. Internal Opportunity Senior Researcher
Qualifications • Outstanding analytical and problem solving skills. • Superior communication skills, both verbal and written. • Strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real problems. • Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects. • Java programming skills, design patterns. • Having skills and experiences in following technologies is a plus: Cloud Computing, Big Data, Analytics, NoSQL DB and Mobile. • Bachelor degree in computer science or a related field is required. Master’s or Ph.D. in databases/information retrieval/statistics/machine learning or a related field is preferred. Internal Opportunity Senior Researcher
Experience (not all mandatory) • Experience/knowledge with various data analysis tools, data mining tools, and statistical packages. • Extensive data analysis/processing experience (minimum 3 years, preferred 5 years). Experience on web domain is a plus. • Extensive knowledge and experience in at least one of the following areas: data mining, web mining, machine learning, statistics, business intelligence/customer intelligence, user modeling, information retrieval, databases, data warehousing, OLAP, data processing (ETL), e-metrics/measurement, parallel and distributed computation (two or more areas are preferred). • Experience with Hadoop, MapReduce, NoSQL DB as well as working with large, unfiltered data sets Internal Opportunity Senior Researcher
INFO + CONTATO www.indt.org rh_seleciona@indt.org