Data Scientist – statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, Map Reduce)
This is an exceptional job opportunity to work as a Data Scientist on this global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation.
Responsibilities include:
* Generate and review large sets of data through the advanced use of quantitative and statistical analytical techniques
* Design, build and utilize consumer behavioural forecasting models with different sectors of the business to maximize business opportunities
* Lead initiatives to improve the accuracy, availability, granularity and coverage of company data
* Develop an analytic strategy that improves customer and product strategy
* Improve and design better data analysis processes for the future
* Proactively develop new actionable analyses and insights from large data sets through the use of advanced quantitative statistical techniques
* Analyze patterns and behaviors of customers to optimize and maximize the performance of the whole product suite including customer experience
* Design and build complex behavior forecasting models to identify links between behavior and new potential opportunities
* Manipulate high-level data and present it in a comprehensible fashion to various senior stakeholders within the company
* Help develop the analytics strategy to support product plans and maximize customer engagement
The ideal candidate will have exceptional data analysis and problem-solving abilities, as well as the ability to discern hidden patterns and signals within financial markets.
Company:
Recruitment agency
Qualifications:
Requirements include:
* Commercial data science experience
* SAS
* MS or PhD preferred in statistics, physics, mathematics, Computer Science, or Engineering
* Experience creating customer segmentation models
* Data Mining
* Proficient user of MS Office
This is a superb career opportunity in the Big Data space, with significant investment in skills training and personal development.
EEO Statement:
We are an equal opportunities employer and welcome applications from all qualified candidates.
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