Data Scientist Specialist

2 days ago

Manila, National Capital Region, Philippines Siegen HR Solutions Full time ₱100,000 - ₱120,000 per year


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


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