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.