Description

You will design and apply advanced analytic models to transform structured and unstructured data into actionable business insights.

Responsibilities

• Develop analytics solution objectives and technical requirements based on user needs and business value.
• Build and enhance analytic models using appropriate methodologies to solve complex business issues.
• Embed analytic models into large-scale business processes and operational systems by collaborating with application developers.
• Translate large volumes of complex data into simple visual models using visualization techniques.
• Influence strategic decisions by deploying analytics solutions into operational systems.

Required Skills

• PhD in Statistics, Operations Research, or Computer Science with 5+ years of experience, or a Master's degree with 8+ years of experience.
• Extensive knowledge of data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Proficiency in Python, SQL, R, SAS, Java, and Unix Shell scripting.
• Experience with analytics software including SPSS.
• Hands-on experience with ETL tools such as Informatica, AbInitio, or Talend.
• Strong understanding of analytics deployment architectures and machine learning.
• Ability to translate business requirements into mathematical models.
• Advanced communication and presentation skills for working across geographical boundaries.

Preferred Skills

• In-depth knowledge of the Hadoop framework.

Key Skills

Education

Any Graduate