Data Mining Supervisor

Job Summary

Jobs at this level are responsible for Model development (Predictive and prescriptive) as senior data scientist and provide guidance to junior data scientists.

Key Responsibilities

• 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.

Qualifications/Certification

• 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, Python…etc)

Required Experience

Minimum of 5 years overall experience in data analytics.

Desired Skills & Knowledge

• 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.