Machine Learning Engineer, Advanced Analytics

Company:
Location: København

*** Mention DataYoshi when applying ***

Do you want to help deliver AI at scale for the worlds largest jewellery brand? Do you have experience with building and scaling Data & Analytics products across the value chain? And do you know what it takes to productionize ML models, and deliver business outcomes through Advanced Analytics? Do you want to be a part of a fast-moving, dynamic, and international team? Then we have a job for you.

Job description
As ML Engineer, you will deploy and continuously integrate models to provide insights and ensure end-user has a great experience. You will ensure that models are up to date and correctly implemented in the pipeline. Further to that, you will model data and build tools to be used by data scientist creating ML models for various applications within the organisation – driving development and innovation in the area of AI systems.


Your key accountabilities will be to:

  • In depth understanding of business problems and tackling them using predictive modelling, forecasting and optimization techniques
  • Build Python packages that will be used by data scientists
  • Deploy ML models (or its output) by developing integrations to other systems or deploy endpoints
  • Apply data modelling and normalisation techniques on inbound data that is going to be used in the development of ML models
  • Manage data pipelining surrounding the development of ML models
  • Work in end-to-end analytical products, from exploration and prototyping to productionizing and testing



What is needed to succeed:

  • Ph.D. or a M.Sc. degree in computer science, software development, IT
  • More than 4 years of experience in programming using Python, SQL, PySpark and/or Java
  • Worked with cloud platforms; Azure, AWS,
  • Advanced knowledge of Airflow, Git, DevOps, Databricks, Docker, Kubernetes
  • Experience working in a Scrum team and Agile setup
  • Hands on experience with CI/CD and DevOps
  • Experience in stream processing applications and mircoservices (Event Hub, Kafka)
  • Result-driven and action



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.


Additional information
Application deadline: 16.05.2021
Expected start date: As soon as possible

This role is based in the Pandora Global Office in Copenhagen, Denmark.


Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:

Zara Mc Brien
Recruiter, Global Office HR

If you see yourself in the position and would like to become a part of Pandora’s future

*** Mention DataYoshi when applying ***

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