Description

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

Responsibilities

• Define and develop analytics solution objectives and technical requirements based on user needs and business value.
• Build, enhance, and determine the appropriate modeling methodologies for complex business use cases.
• Embed analytic models into large-scale business processes and operational systems by collaborating with application developers.
• Translate complex data into simple visual models using unique visualization techniques to influence strategic decisions.
• Apply advanced statistical, operations research, and computer science methods to solve business problems.

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 classical 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.
• Expertise in analytics software including R, SAS, and SPSS.
• Strong machine learning, data integration, and mathematical modeling skills.
• Experience with ETL tools such as Informatica, AbInitio, or Talend.
• Advanced understanding of analytics deployment architectures.
• Deep knowledge of data visualization tools including Spotfire, SAS, R, Qlikview, Tableau, HTML5, and D3.
• Ability to translate business requirements into mathematical models and data science objectives.

Preferred Skills

• In-depth knowledge of the Hadoop framework.

Key Skills

Education

Any Graduate