Company

Apple

Released at

1970-Aug-22

Close at

2023-Mar-31

Job Type

PERMANENT

Salary

SGD 10000 per MONTH

Location

, , Singapore

Company Description

Apple has a tremendous amount of data, and we have just scratched the surface in pattern detection, anomaly detection, predictive modeling, and optimization. There are many exciting problems to be discovered and solved and many business owners eager to use data mining. The Apple Analytic Insight team supports scientists to stay abreast of data science research by attending conferences and working with academic faculty and students. We cultivate a collaborative work environment, but allow solution autonomy on projects.

Job Description

    • Conceive and design end to end data science solutions to support Apple's business units and initiatives.
    • Work with business owners to map business requirements into technical solutions.
    • Develop and implement data science solutions to fit business problem, which may include applying algorithms from a standard tool or custom algorithm development.
    • Work closely with data warehouse architects and software developers to generate flawless business intelligence solutions for end users.
    • Support production analytic solutions.
    • Perform ad hoc statistical and data science analyses.
    • Present results of analyses to business units. Takes the initiative to develop and automate regular and ad-hoc reports

Requirements

    • Strong knowledge of data science algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks.
    •  Familiarity with database modeling and data warehousing principles with a working knowledge of SQL.
    •  Creativity to go beyond current tools to deliver the best solution to a problem Strong programming skills in Python, Java, C++, or similar language Excellent presentation, communication and social skills, with solid attention to detail.
    •  Ability to work independently and make key decisions on projects Researches, and if applicable, implements new technologies and methods in the areas of data analysis, data modelling, data glossaries and libraries.

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