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Data Scientist (Python, AWS Stack) - Aviation

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The ideal candidate should have proven experience in end to end process from design, develop, deploy to product support of data science & analytics projects.

Job Responsibilities:

  • Provide actionable analytics and insights to fuel business transformation across different business units, including operations, service delivery, customer management, and sales.
  • Utilize a blend of mathematical precision and innovative algorithms to derive business value from data.
  • Engage with stakeholders to design and implement data science solutions that align with dynamic business requirements.
  • Take the lead on use cases to ensure the achievement of business objectives and delivery of value.

Key Responsibilities:

  • Develop, design, and implement models from initial concept to deployment, ensuring continuous support and adaptability to changing business dynamics.
  • Offer expert analytics solutions, including machine learning and statistical modeling, to address business challenges and enhance outcomes.
  • Collaborate closely with business units to transform business issues into quantitative solutions and effectively communicate across both technical and non-technical audiences.
  • Monitor model performance in real-world settings and drive enhancements to maintain enduring business value.

Requirements:

  • Possession of a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related fields.
  • 3-6 years of hands-on experience in deploying models to production and ensuring their adaptability to evolving business needs.
  • Proficiency in Python, R, Spark, and big data tools.
  • Knowledge of AWS and familiarity with data visualization tools such as Alteryx and PowerBI is an added advantage.

Contract Type: FULL_TIME

Specialism: Tech & Transformation

Focus: Business Intelligence, AI, Data Analytics & Data Science

Industry: IT

Salary: HKD35,000 - HKD47,000 per month

Workplace Type: Hybrid

Experience Level: Associate

Location: Hong Kong

Job Reference: X37NHN-29539139

Date posted: 4 February 2025

Consultant: Jennie Jiang

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