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Data Scientist - Customer Data (9-month Contract)

  • Location:

    Hong Kong

  • Sector:

    Informationstechnologie

  • Job type:

    Temporary

  • Salary:

    Negotiable

  • Contact:

    Jackie Vargas

  • Contact email:

    jackie.vargas@oliverjames.com

  • Job ref:

    JOB-112024-262599_1731321472

  • Published:

    30 Tage her

  • Expiry date:

    2024-12-11

Our client, a prestigious MNC is seeking a Data Scientist to take on a key role in leveraging advanced analytics and machine learning to drive growth, optimize customer experience and enhance operational excellence.

Key Responsibilities:

  • Utilize cutting-edge data science methodologies to develop forecasting and propensity models for predicting customer behavior.
  • Create predictive models to support business decision-making processes, forecasting, and recommendations.
  • Data mining of customer database to identify business opportunities for customer acquisition and retention, sales performance optimization as well as customer experience/engagement enhancement.
  • Apply modern machine learning algorithms to analyze extensive datasets encompassing customer interactions with product and platform attributes.
  • Provide actionable insights to aid in comprehending market dynamics, user behaviors, and long-term trends.
  • Enhance their understanding of customer bases by ensuring a comprehensive view of customer demographics and behaviors.

Job Requirements:

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline
  • Proficiency in data models, data mining, and segmentation techniques.
  • Strong proficiency in Python and its libraries.
  • Experience in utilizing SQL and other languages to extract data from diverse sources.
  • Familiarity with cloud platforms and associated services such as AWS, Microsoft Azure, and Google Cloud.
  • Ability to apply linear and non-linear regression, logistic regression, classification techniques, clustering, dimensionality reduction, k-NN, and pipeline for data analysis
  • Good communication skills and the ability to collaborate closely with both business and technology teams
  • Problem-solving mindset and the ability to think critically

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