"'-must have skills
Statistical, mathematical, predictive modeling skills
Business strategy skills: to ask the right questionsand find the right answers and build the algorithms necessary to prove or test that
Good understanding of different modeling technique for analysis
Understanding how to integrate multiple systems and data sets and ability to link and mash up distinctive data sets to discover new insights
Programming skills, preferably in different programming languagessuch as Python, R, Java, Ruby, Pig or SQL, NOSql
Good understanding of Hadoop and able to extract data from Hadoop using Hive, Drill, Hbase…
Analytics exploratory and visualization tools: SAS, D3J, Tableau,data meer etc…
Background knowledge on mobile operator data (network, customers, …)
good to have skills
Understanding of visualization tools like Splunk, Tableau etc.
Survey analysisand design
Statistical analysis: to understand and work around possible limitations in models
Conceptual modeling: to be able to share and articulate modeling
Predictive modeling: most of the big data problems are towards being able to predict future outcomes
Hypothesis testing: being able to develop hypothesis and test them with careful experiments.
experience in machine learning
You will be responsible to extract insights and test hypothesis from different data sources: visualization tool, log files and others.
You will be responsible of combining survey results with system data to understand key technical drivers of product performance
You will liaise with design and development and support teams to help them in product evolution and troubleshooting, by providing insights both upon request or in a proactive way
You will be responsible for writing algorithms to analyze and extract insights from large amount of structured and unstructured data.
You will responsible of presenting conclusions and findings with a set of data modeling or graphing tools.
Python, R, predictive modelling skills, Tableau, Java, Hive, Hadoop, Splunk
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