Take your Data and AI applications into production with ease.
Taking models into production requires a professional workflow, high-quality standards, and scalable code and infrastructure. Data Science in Production is dedicated to reaping benefits from data by taking data-driven applications into production.
Read our magazine Data Science in Production for practical tips and insights to:
- introduce a professional workflow
- improve your quality standards
- develop scalable code and infrastructure
- and much more.
Subscribe to our newsletter
Stay up to date
Data Science in Production Magazine #2
- Setup and structure a Spark application in scala
- Fairness in machine learning with PyTorch
- Typechecking SQL queries with doobie
Interested in joining GoDataDriven?
You are passionate about helping organizations drive their success with Data & AI. You feel comfortable operating at the sweet spot between Leadership, Business, and Tech. And, after co-creating a vision and strategy on Data & AI, you’re not afraid to kick-start and drive the execution with a top-notch team that will turn your ideas into reality.
Your passion is data and analytics. You want to create value at our clients by uncovering, organizing, and making sense of data. You understand that it is important to build robust solutions. You feel comfortable to operate in the sweet spot between business and engineering.
You love to help organizations become successful with Data & AI. You have been a practitioner as analyst or scientist. You feel comfortable to approach stakeholders and help them to uncover the needs of their business. And you are not afraid to take ownership and make sure the right solution goes into production.
You are a engineer with a pragmatic attitude. You feel the weight of responsibility that comes with taking systems into production. You easily switch between scripting and structured programming in typed languages. You understand cloud, provisioning and automation. And you know how to build robust systems.
You are passionate about sharing your knowledge and helping others in their development and success stories and feel comfortable explaining difficult subjects on various levels and are adept at creating new learning and development offerings on Data & AI. You are fluent in Python and the most used data science libraries such as Pandas and scikit-learn. Clean code comes naturally to you and you understand why that is important for the next generation of data science products.
We are looking for senior data scientists who feel at home at the intersection between science, mathematics, machine learning, business, and coaching. You have experience in building value from data through ML and software.
You understand ML. You understand that scale is not trivial. You like to code. You are comfortable to be a bridge between data scientists and data engineers to build production-ready, scalable applications driven by data and AI.