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Manager, Data Science, Advanced Analytics

City:  Bangkok
Country/Region:  TH
Application Deadline:  ๊๊Until hired

Ref. 9544

 

Do you know what it takes to build competitive advantage through AI and advanced analytics? Do you have experience scaling data and analytics products and teams across the value chain? Do you want to be a part of a fast-moving, dynamic, and international team? And are you considered one of the best in your field? Then we have a job for you.
 
Job Description:
As a Manager within the Data Scientist team, you will work with a team of data scientists and ML Engineers on tackling both interesting and challenging problems using machine learning and optimization techniques. You will provide guidance and support to a team of experts who will ensure that our prescriptive models are using state-of-the-art techniques to support and/or automate data driven decision making processes. Further to that, you will participate in product team meetings working on developing analytical software solutions for various applications within the organization that drive development and innovation in the area of AI systems.  
 
Responsibilities;

  • Provide guidance to Data Scientists and ML Engineering team members
  • Participate in Product team meetings and be the sound voice for AI opportunities
  • Partner with our stakeholders to identify valuable insights and in depth understand business cases via data mangling and advanced statistical analysis.
  • Tackle business challenges using predictive modelling, forecasting and optimization techniques to provide actionable recommendations.
  • In selective cases work on end-to-end analytical products, from exploration and prototyping to testing and productionizing.
  • Participate in Scrum team and work in an agile manner applying principles from DevOps 

 
Qualifications;

  • Ph.D. or a M.Sc. degree in computer science, physics, mathematics, operations research or related field or an equally strong analytical background,
  • More than 5 years of experience in programming using Python, R, SQL, or Matlab. PySpark is a plus,
  • 4+ years industry experience in particular within big data application scenarios,
  • Worked with statistics, machine learning, forecasting, MIP numerical techniques, time series analysis, and scientific computing,
  • Working knowledge of Git, DevOps, Databricks, Docker, Kubernetes, Airflow,
  • Experience with neural networks, deep learning, and reinforcement learning; but not required,
  • Strong strategic and economics skills; you have the ability to manage large sets of qualitative and quantitative data and present finding in a simple and actionable manner,
  • Result-driven and action-oriented individual. Focus on executing, getting things done and delivering on targets,
  • Fluent proficiency in both written and oral English  

 

Something about you:
How would you rate yourself on the 4 C’s? We believe that communication, collaboration, critical thinking and creativity are key competences that will help anyone regardless of job function, title or skillset, in becoming a success.

If you can see yourself working in a fast-paced entrepreneurial environment with many stakeholders, where your communication and interpersonal skills are needed and your ability to collaborate and innovate as a team is essential, we would love to hear from you.    

 

Your new team:
Say hello to the Advanced Analytics team in the Data & Analytics Center of Excellence at Pandora – the world’s largest jewellery brand. As part of the 80+ colleagues in the wider CoE, we are a dedicated group of data-driven professionals who support business units across the full value chain with actionable insights and predictive analytics.

We have a data lake, a unified analytics platform and solid communication skills that help us translate data into business value. Your new team consists of a diverse and happy group of analysts, scientists, engineers and product people with a clear mission: We are here to deliver data-driven experiences in all consumer journey touchpoints, develop actionable insights to inform business decisions across supply chain, product, marketing, commerce, finance, HR and more - and have fun while doing it.