Job Description

Overall Purpose:

This is a non-executive position in Analytics as a Service in Manila
SDO. This person will report to Operations Analytics as a Service Delivery Lead
and to the Manila SDO Lead.

Responsibilities:

This resource will generally be responsible for delivering client
value through analytics with the use of statistical techniques.

• Support
  the delivery of strategic advanced analytics solutions across different industries
• Provide
  analytics insights and solutions to solve business problems that are specific
  to client requirements
• Leverage
  analytics within transformation projects in operations through maturity
  assessments and one-time analytics projects
• Support
  operations in fact-based decision making, RCA and strategic initiatives through
  data analysis, text analysis and statistical modeling.
• Follow multiple approaches for project
  execution
• Adapt existing assets to Operations
  use cases
• Explore third-party and open source
  solutions for speed to execution and for specific use cases
• Engage in fundamental research to
  develop novel solutions
• Leverage the vast global network of
  the company for collaboration
• Collaborate with other data
  scientists, subject matter experts, sales, and delivery teams from company
  locations around the globe to deliver strategic advanced analytics projects
  from design to execution.

Skills and Qualifications:

• Master’s or Ph.D.(preferred,
  not required) degree in Statistics, Mathematics, Computer
  Science/Engineering,Physics, Engineering, or related scientific disciplines
• Work experience of at least 5
  years in relevant industries (Financial Services, Network, Utilities, Health
  Care, Marketing, Pharma, Retail etc.) – with hands on experience handling
  data-driven decisions
• Experience in statistical
  modeling, machine learning, data mining, unstructured data analytics in
  corporate and/or academic research environments
• Advanced in statistical and
  other tools/ languages – e.g. R, S-plus, SAS, STATA, Python, C, C++, Java,
  Scala
• Familiarity with relational
  databases and intermediate knowledge of SQL
• Proven background in at least one of
  the following: Reliability models, Markov Models, Stochastic Models, Bayesian
  Modelling, Classification Models, Cluster Analysis, Neural Network,
  Non-parametric methods, Multivariate statistics
• Aptitude to learn, think creativity to
  solve real world business problems, and work in a global collaborative team
  environment
• Proficient verbal and written
  communication skills in English