Data Science Architect

Join us and work for Google.

As a global solution provider for Google Cloud Platform (GCP), we are looking for a Data Science Architect who agrees that cloud is the future. Are you also passionate about big data and the cloud? If yes, then keep reading.

This role will suit you, if you...

  • believe that hyperparameter tuning is a task which should definitely be automated.
  • want to apply recent AI advances in domains such as computer vision and language processing.
  • want to work with A+ colleagues, who are also the region's most experienced GCP developers.
  • are passionate about open-source state-of-the-art data science tools as well.
  • have ambitions to be a pioneer in a freshly forming data scientist team.
  • don’t just absorb knowledge, but also like to share it with others.

You will be responsible for...

  • acting as a trusted advisor to our customers, and therefore shape their cloud machine learning (ML) strategy.
  • understanding our clients’ needs and translating them into a feasible ML solution design.
  • conducting Exploratory Data Analysis (EDA), and finding the most promising ML methodology for the desired business outcome.
  • providing technical support in pre-sales.
  • holding technical training sessions for our customers.
  • architecting and deploying artificial intelligence (AI) solutions with Google Cloud ML Engine, BigQuery, and Cloud Dataflow for use cases such as:
  • Recommendation engines,
  • Demand prediction,
  • Text classification and auto-tagging,
  • Dynamic pricing,
  • A/B testing and personalized promotions,
  • Image processing.

You will need

  • a university degree in a technical field or equivalent ML engineering experience.
  • 5+ years of relevant experience in designing and deploying data science projects.
  • a thorough understanding of data science methodology standards as well as the theory around model building.
  • hands-on experience in writing software in a collaborative environment, such as Python, Java, or similar.
  • the ability to write analytical queries in SQL.
  • good communication skills in English.
  • client-facing skills and consulting experience.

It would be nice if you also had...

  • familiarity with the data structure of Google marketing tools, such as DoubleClick or Google Analytics and how it can be leveraged to enhance predictive models.
  • a background in marketing analytics, such as DMP or CDP solutions.
  • knowledge of Python data science stack such as TensorFlow, scikit-learn, pandas.
  • e-commerce and/or retail domain expertise.
  • hands-on experience in Big Data analytics and cloud computing.
  • the ambition to provide mentorship and code reviews.

You will have the opportunity to...

  • deliver innovative projects with cutting-edge technology.
  • work with Google Professional Services.
  • learn as part of your job. Capitalize on our company-level knowledge management or attain Google technical certifications.
  • become a certified Google trainer.
  • maintain a healthy work-life balance. We offer flexible working hours and home office.
  • travel to cool places, such as Singapore.

What our team loves about Aliz

  • “We have projects from Singapore to San Francisco. Complex challenges mixed with the latest technologies. In short, it’s an engineering heaven.”
  • “Flat organization structure.”
  • “We are always in the first line to use Google enterprise solutions, so I feel we are pioneers in a pioneering industry.”
  • “VR room. I love it.”