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077-6-000-000
 
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30/08/2014
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30/08/2014
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data mining big data.
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30/08/2014
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30/08/2014
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3169325

Lead Data Scientist

30/08/2014
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3165421

SU / Data Scientist

30/08/2014
BiT
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3180927

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30/08/2014
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30/08/2014
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Fraud Analyst
15
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Required Fraud Analyst.
Run a variety of processes, investigations and analyses to minimize fraud loss and improve sales conversion by minimizing false positives.
Monitor and investigate transactions via internal and external fraud prevention systems in order to identify fraudulent activity.
Undertake proactive analysis of transactional and customer records; link transactions and accounts to known or suspected fraudulent MO's and identify fraud trends.
Manage chargeback cases across a variety of systems and payment providers; contest chargebacks when possible.
: BA in Economics /Mathematics /Statistics or equivalent academic knowledge. At least 2 years of practical analytic experience in big data environments, preferably in gaming, software, internet, media or telecom industries.
Fraud Prevention experience in an e - Commerce environment.
Experience working with statistical models, query tools and Big Data reporting.
Excellent proficiency in Excel and SQL.
Passion for the gaming industry.
Self - learner, multi - tasking, strong analytical skills, strategic thinking, highly organized and pays attention to details with excellent inter - personal relations. .
Business Analyst
15
:
Required a Business Analyst.
The analyst will use analytical tools, data mining and business logic to consult the product team on various day to day and strategical game related aspects. Monitor the company / products KPIs and ensure ongoing feedback to decision makers. Define Reports and Dashboards for various business needs.
: BA in Economics / Mathematics / Statistics or equivalent academic knowledge. At least 2 years of practical analytic experience in big data environments, preferably in gaming, software, internet, media or telecom industries. Experience in data mining, testing, analysis and consumer experience optimization.
Experience working with statistical models, query tools and Big Data reporting. Excellent proficiency in Excel and SQL.
Passion for the gaming industry.
Experience in designing and balancing game economy - a major advantage. Self-learner, multi-tasking, strong analytical skills, strategic thinking, highly organized and pays attention to details with excellent inter-personal relations. .
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Data Scientist, Statistics
14-08-2014
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Required Data Scientist, Statistics.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how to effectively measure and understand the mobile ecosystem.
Define and implement our statistical methodology, building models and formulas for bias correction, uncertainty estimations and outlier detection across multiple metrics and dimensions.
Partner with product and analyst teams to direct our growth and spend across devices and geographies.
Inform, influence, support, and execute data analysis projects used throughout Facebook to drive product decisions.
Mine massive amounts of data, extract useful product insights and sleuth suspicious trends.
Manage development of data sources, gather requirements, organize sources, and establish a definitive image of the market we operate in.
Requirements: 4+ years of experience doing quantitative analysis or survey analysis, preferably within the web or mobile app industries.
MS/PhD in Math, Statistics, Computer Science, Operations Research or other technical field.
Experience with data analysis using tools such as R, numpy, etc.
Experience in survey methodology, quantitative research methods or statistical analysis.
Good control of SQL or similar languages and development experience in at least one scripting language (PHP, Python, Perl, etc.).
Experience with large data sets and distributed computing (Hive/Hadoop) a plus
Ability to initiate and drive projects to completion with minimal guidance.
The ability to communicate the results of analyses in a clear and effective manner.
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10-08-2014
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03-08-2014
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03-08-2014
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01-08-2014
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Data Scientist
31-07-2014
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Java, Python.
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Data Analysis Engineer
30-07-2014
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Required a Data Analysis Engineer.
Relevant experience in the semiconductor industry, from either Process Control, Product, Yield, Defects or Test Engineering. We are looking for someone who was highly involved with Fab/Test data analysis.
Requirements: Understanding of statistical methods along with expertise in data analysis.
Excellent English language proficiency.
Good communication and interpersonal skills for interfacing with customers.
Patience, determination and is well-organized.
Proficiency with statistical software (e.g. JMP).
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28-07-2014
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25-07-2014
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