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AI / Machine Learning Data Scientist

  • Location:

    Hong Kong

  • Sector:

    Informationstechnologie

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Krishna Kohli

  • Contact email:

    Krishna.Kohli@oliverjames.com

  • Job ref:

    JOB-032023-201117_1679983124

  • Published:

    etwa 4 Stunden her

  • Expiry date:

    2023-04-27

We are working with the largest telecomms business for a Senior Data Scientist role. Candidate ideally will have advanced analytics and business acumen and is responsible for leading and executing data-driven projects based on business objectives. They are required to have strong technical skills in data modelling, analysis, and visualisation, as well as a deep understanding of advanced machine learning algorithms.

The job description includes:

  1. Identifying and defining data sources, hypotheses, and business questions
  2. Developing and implementing analytic models for different business applications
  3. Leveraging big data technologies and tools (e.g., Hadoop, Spark, SQL) for data transformation, cleaning, and extraction
  4. Applying statistical methods to analyse and visualise data (e.g., regression analysis, decision trees, clustering)
  5. Utilising natural language processing (NLP) and computer vision techniques for text or image analysis
  6. Communicating insights and recommendations, and collaborating with cross-functional teams to drive business growth and innovation
  7. Mentoring and coaching junior data scientists to improve their technical and business acumen skills
  8. Keeping up-to-date with emerging trends and technologies in the data science field and exploring new ways to optimise data-driven decision-making strategies.

Desired skills & Job details

These Data Science positions have a few components:

  • Understand business analytical needs (business partnering)
  • Technical Modelling using ML techniques and rationalisation
  • Advanced Analytics & Business intelligence skills

The role is around Manager grade with 5-8 years experience, ideally with hands on experience and speaks Cantonese.

Apply NOW!

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