Data Scientist

If you thrive in a tech-driven, international environment, love working at the intersection of data science and software engineering, and want to shape the future of AI-driven MarTech and eCommerce space, this role is for you!

Let’s talk about the position of a:

Data Scientist ​

💯 This is a unique opportunity to be at the heart of product innovation, turning behavioral data into real business impact.

🖥️ Company: Work with cutting-edge technologies, including AI-powered personalization engines and machine learning models, to deliver intuitive, data-driven experiences for world-renowned brands like BMW, Nestlé, and L’Oréal.

Join a team where data science fuels smarter e-commerce and marketing automation. You'll take end-to-end ownership of machine learning solutions from concept to production.

📍 Poland, Remote.

🗃️​ B2B Contract.

🤖 What will you be doing?

• Owning full model lifecycle: from research, experimentation and prototyping to deployment and monitoring.
• Building and optimizing machine learning models using Python and C#, e.g., customer lifetime value models, AI modules that support the recommendation engines and the use of a customer data platform. 
• Designing data pipelines and integrating ML solutions into production (search personalization, clickstream analysis, email triggers).
• Improving and maintaining existing models to ensure performance, scalability, and robustness in production.
• Collaborating closely with engineering, product and business teams to turn complex data into actionable product features.
• Upholding high development standards by writing clean, maintainable code, conducting code reviews, and embracing DevOps practices like testing and CI/CD.
• Contributing to the continuous improvement of the team by mentoring junior colleagues and bringing new perspectives to modeling and methodology discussions.

🔧 What will help you get the job done?

• Experience in end-to-end data science projects (preferably in eCommerce, SaaS, MarTech space), with around 5 years of experience.
• Strong background in Python and C#.
• Experience deploying models in production environments.
• Experience with Azure infrastructure, including Kubernetes and Azure Pipelines.
• Solid understanding of statistics, modeling, and software engineering practices.
• Analytical mindset with a passion for practical impact, not just research.
• Excellent English and communication skills.
• Strong communication skills, with the ability to explain data-driven insights to diverse audiences.
• An ability to take charge of your own projects as well as close collaboration with others.

✨ Nice to have:

• Experience with: Azure, DevOps, Docker, Kubernetes, Databricks, Cassandra, SQL.
• Experience with Delta Lake and Spark for handling large-scale data.
• Hands-on experience with deep learning (PyTorch, TensorFlow, MXNet).

💎 Why is it worth it?

• B2B Contract Model.
• Real influence on product and innovation in a growing tech ecosystem
• Private medical care (Luxmed or Medicover) & MultiSport package fully covered.
• Supportive company culture – flat structure, strong teamwork and openness to new ideas.
• Remote-first setup. Do you prefer slippers instead of shoes or maybe you are expecting Amazon delivery, no worries, we’ve got you covered.

👋 Meet Your Guide:

Hello! I’m Olga and I am responsible for this recruitment process. I will be happy to meet you!

🗺️ Recruitment stages:

1. Online interview with Olga - we will talk in more details about the company, the role and your last projects :)
2. Online interview with a company - you will meet the team.
3. Technical assignment - it is time for you to shine!
4. Online interview - final assessment of your task and decision.