Senior Data Scientist

Your responsibilities:

• You work hands-on in an cross-functional team and develop innovative data and AI products using machine learning methods.

• You are responsible for the entire lifecycle of machine learning models, from exploratory data analysis and feature engineering, to the selection and training of suitable algorithms, to the evaluation and validation of the models.

• You work on the Google Cloud Platform (GCP) and guide the deployment of ML models into production.

• As a technical expert, you establish best practices in the fields of data science, machine learning, and MLOps. In doing so, you proactively evaluate and integrate new methods and always stay up-to-date with the latest technology.

• You work closely with business stakeholders to identify, evaluate, and implement concrete solutions for AI products.

Your Profile:

• You have several years of professional experience in the development and operationalization of data science and AI products.

• You possess outstanding knowledge of Python, especially for data analysis, data engineering, and ML model development.

• You have deep hands-on experience with the Google Cloud Platform (GCP) and its relevant services (e.g. Vertex AI, BigQuery, Cloud Storage).

• You have sound knowledge and practical experience in MLOps, CI/CD, and ideally the use of tools like Terraform and dbt.

• You understand and master the entire lifecycle of machine learning models – from experimentation, training, deployment, monitoring to retraining strategies – and can implement them efficiently.

• You are characterized by strong analytical skills, a structured approach to work, and a proactive attitude in solving complex problems.

• Excellent communication skills and fluent English complete your profile.

• *Please send your cv in English

How about?

Employment contract? 📝

Of course. With us, you do not have to worry about stable employment.

Benefits? 🏋️‍♀️

We have them! Among others: corporate incentive program, sport card, private medical care.

Lunch card? 🍽️

With an extended cooperation and a permanent contract, you will receive additional funds to use for meal purchases.

Working in a hybrid model? 💻

Of course! You work with us 2 days a week from home.

Work wherever you want? 🌍

At PAYBACK, you have the opportunity. Work 100% remotely, even from European countries for up to 10 days a year.

Flexible working hours? ⏰

Sounds great! We start working between 8 to 10.

Trainings? 🧠

Of course. We provide training to develop both hard and soft skills.

Convenient location? 🏠

Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.

Dress code? 👕

We definitely say no. There are no rigid dress code rules in our company—sneakers are more than welcome!

Friendly atmosphere at work? 🤝🏻

Yes! At PAYBACK, people are the most important asset.

‎Something is missing? 🖐

Open communication is our priority, so dare to ask!