Offer summary

Qualifications:

Strong educational background in data science, machine learning, or related fields., Proficiency in programming languages such as Python for implementing models., Experience in analyzing data and understanding business processes., Motivation to work on challenging projects and willingness to learn new technologies..

Key responsibilities:

Interacting with clients to understand their needs and processes.

Developing and implementing machine learning models to improve business operations.

Presenting results and discussing models with clients and internal teams.

Deploying models into clients' business environments, either on-premises or in the cloud.

Job description

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 which 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 Scientists 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 his 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 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