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Data Mining Supervisor
2 weeks ago
- Assess analytics opportunities and making subsequent recommendations as to the analytical approach.
- Work on advanced Modeling algorithms such as linear/logistic regression, neural nets, decision trees, fractional factorials, etc. based on the requirement.
- Develop, test, implement, and potentially maintain statistical modeling implementations.
- Interact with our internal/external customers of all levels to review expected outputs, applicability to business challenges, and model measurement.
- Guide the data formulation process which may include identification of attributes, exploratory data analysis, data transformation, and temporal layout
- Develop innovative thought leadership and contribute to the creation of points of view on Analytics offerings and insights.
- Bachler degree in Big data analytics, Statistics, Mathematics, Operations Research, Decision Sciences, Applied Probability, etc. Preferable master degree.
- Certification in one or more analytical tools (i.e. SAS, R, )
- Strong communication skills (verbal and written)
- Proven ability to work creatively and analytically in a problem-solving environment
- Out of the five years minimum four years with the following:
- Software tools and Languages: Strong skills in Base SAS, SAS/STAT, SAS Enterprise Miner , Tableau, R, Python, relational database extraction or any analytical tool.
- Methods: Data visualization, data mining, predictive modelling, Text analytics, social media analytics, Customer analytics, Operations Analytics etc.
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