Whitepaper
Beyond technology: Creating business value with Data Mesh
Our community of Data ExpertsÌýthink disruptively to provide pragmatic solutions for our clients' most complex challenges. We are curious minds who come together in collaborative and inclusive teams to push boundaries to make a positive impact in the world by harnessing the power of data and artificial intelligence (AI).Ìý
Ìý
We are looking for change makers, opportunity creators, status-quo shakers. If that’s you, what are you waiting for?
Making an impact across data careers
Data Analysts
are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value.
Data Engineers
are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality.
Data Architects
are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more.
Data Scientists
are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results.
Machine Learning Engineers
are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments.
Our people
Ìý
Learn. more about life at ÷ÈÓ°Ö±²¥ as a data professional from Jessie Wang, Senior Data Scientist and Lindsay Liu, Project Manager. From choosing ÷ÈÓ°Ö±²¥ to what it’s like to work here as a data professional to details of their project work and advice to those thinking of bringing their data skills to ÷ÈÓ°Ö±²¥ – this is great insight into being a data professional at ÷ÈÓ°Ö±²¥.
What kind of Data and AI projects are you working on at ÷ÈÓ°Ö±²¥?
What advice do you have for someone exploring Data and AI at ÷ÈÓ°Ö±²¥?
Why did you choose ÷ÈÓ°Ö±²¥ to grow your Data and AI career?
What is it like to work in Data and AI at ÷ÈÓ°Ö±²¥?
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