Data Scientist

Data Scientist

Take ownership of end-to-end machine learning solutions, from idea to production. Join a team where data science drives smarter e-commerce and future-ready AI products.

About the Company

A part of a leading European MarTech ecosystem developing advanced products in e-commerce, personalization, automation, and data management. Our solutions are used across Europe by enterprise clients looking to scale digital customer experience.

About the Project (NEW Strategic AI Initiative)

The initiative focuses on creating a next-generation AI Agents Platform – a core component responsible for orchestrating, managing, and scaling multiple AI agents across the group’s products.

This includes:

• Building a platform of AI Agents, used across multiple products.

• Designing scalable, production-grade components enabling AI-driven automation, personalization, recommendations, and customer intelligence.

• Helping shape new best practices around Python engineering, machine learning reliability, and MLOps across the group.

You will be part of a cross-functional team building key AI capabilities from scratch – with real architectural influence.

Location: Poland, Remote

Contract: B2B

🚀 What you’ll do

• Own the full ML model lifecycle: research, experimentation, feature engineering, prototyping, deployment, and monitoring.

• Implement AI Agents logic in cooperation with backend and platform teams.

• Improve scalability, latency, and robustness of existing models and pipelines.

• Collaborate with engineering, product, and business stakeholders to translate data into production-ready capabilities.

• Write maintainable, well-tested Python code using best practices (CI/CD, code reviews, monitoring).

• Mentor junior team members and contribute to the project’s technical direction

  
  

  🔧 What you bring

• ~5 years of experience delivering end-to-end data science projects (eCommerce, SaaS, or MarTech a strong plus).

• Strong command of Python and core DS/ML libraries.

• Experience deploying models into production environments and maintaining them at scale.

• Understanding of modern cloud platforms (Azure or AWS preferred).

• Solid background in statistics, modeling techniques, and software engineering fundamentals.

• Analytical mindset focused on business impact and measurable outcomes.

• Excellent communication skills in English (stakeholder-facing role).

  
  

  💡 Why apply?

  • Ownership from day one: build a strategic AI component for the entire group.

  • Real impact on architecture, standards, and engineering culture.

  • Growth path toward MLOps, AI Platform Engineering, or Technical Leadership.

  • Flexible B2B contract.

  • Private healthcare (Luxmed or Medicover) & MultiSport fully covered.

  • Flat structure and genuinely open, collaborative culture.

  • Remote-first setup with full autonomy.

  • Opportunity to build AI solutions that turn behavioral data into real business value.

    
    

    👋 Meet Your Recruiter

    I’m Anna and I’ll guide you through each step of the process. Looking forward to meeting you!

     

    🛠️ Recruitment process

    1. Intro call with Anna – role overview, expectations, and your recent projects.

    2. Technical/Team interview – deeper dive into your experience.

    3. Technical assignment – opportunity to showcase your skills.

    4. Final meeting – review your task, ask questions, align expectations, and make the final decision.