We are a young consulting company with a team of talented data engineers, architects, and data scientists specializing in building cloud-based data platforms and AI/ML solutions for our customers. Our customers, with whom we have strong relationships and multi-year contracts, include well-known companies in the areas of energy providers & utilities, retail, financial services, and mobile apps. Our projects always involve applying cutting-edge cloud technologies to exciting real-world data. This is shown by our strong relationship with Microsoft where we have multiple Gold- and Advanced Certifications.
One extremely important aspect of the work at paiqo is our culture – having fun working together, trusting each other, and combining independence with teamwork. There are no fixed working hours and no fixed reporting structure. We are looking for Data Engineers who we can trust to do great work on their projects because they are motivated by the challenging nature of the projects themselves. We are also looking for people who we can learn from and who are willing to learn with us, to always stay on the cutting edge with our technical skills.
Your tasks in a project could be: Interacting with the customer and understanding their business needs and processes
Use case reflection together with the customer to find the best use case to apply Data Science / Machine Learning
Analyzing and understanding the provided data and connecting it to the business processes
Implementing a machine learning model (whichever model fits best; e.g., in Python) which improves the business processes
Presentation of results and discussion of the machine learning model internally and with the customer
Deployment of the found model in customer's business processes (on-Prem or in cloud)
What we offer: Challenging projects with well-known companies in various fields
Young and highly motivated team
Great emphasis on education and training with dedicated time on the job
Mentoring and guidance from senior colleagues
Opportunity to use the newest technologies around Data Science
Home office
Flexible working hours
Minimum Requirements: Good analytical and problem-solving skills, critical thinking, and an ability to explore and understand customers' technical ecosystems and data, as well as an ability to communicate complex technical problems and their solutions clearly
Experience in the Python and/or R Data Science ecosystems
Interest in working with visualization tools (PowerBI, etc.)
Interest in modern cloud-based data architecture and cloud services
Interest in working with Spark and the Hadoop stack
Readiness to travel
German and English fluently spoken and written
Deep understanding of the overall Data Science workflow including the most common algorithms
Experience in working with various databases (SQL and NoSQL)
5+ years of experience in a similar role
Ability to handle the full data science lifecycle from conception to deployment
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