Data Scientist - Singapore - ML CONSULTING PTE LTD

ML CONSULTING PTE LTD
ML CONSULTING PTE LTD
Verified Company
Singapore

1 week ago

Wei Jie

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Wei Jie

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Description

Responsibilities:


  • Collaborate with the Product team to design and build scalable insight delivery solutions
  • Mentor team members on best practices for code development, version control, testing, and experiment repeatability
  • Develop a deep understanding of data assets and their relation to business processes
  • Work with data team to ensure data assets and analytic pipelines are reliable and robust
  • Stay informed on company initiatives and pain points to foster innovation and process improvement using data and advanced analytics
  • Present clear and actionable findings to stakeholders with appropriate technical depth
  • Safeguard customer data assets by reviewing procedures and processes
  • Act as an expert in advanced analytical methods and stay updated on advances in the field
  • Develop and implement new analytical methodologies and techniques for clients
  • Identify key business drivers that have the biggest impact on customer loyalty, relationship strength and business results
  • Identify and build target audience for marketing campaigns and loyalty campaign personalization using ML/AI techniques
  • Manage direct reports, providing coaching, feedback, and development opportunities

Job Requirements

  • Bachelor's degree in a quantitative field (Statistics;
  • Analytics, Mathematics, Finance, Computer Science, Engineering, Physics, etc.)
  • 3+ years of handson analytical experience
  • Expertise in building ML/AI models and workflows
  • Proficiency in SQL and R; knowledge of Python and Tableau is a plus
  • Familiarity with CRM, loyalty, and consumer marketing
  • Experience in managing and leading a small team
  • Strong skills in data visualization and BI solutions (e.g., Tableau, Domo, QlikView etc.)
  • Knowledge of Git for version control

Skills and Abilities

  • Solutionoriented selfstarter with strong analytical skills and ability to meet tight deadlines
  • Excellent interpersonal skills for coaching team members and managing stakeholder expectations
  • Strong verbal and written communication, with effective presentation skills and attention to detail

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