Data Scientist

Data Scientist ​

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

Company: a European MarTech ecosystem of technology companies with a product portfolio including AI-powered personalization engines, e-commerce platform and data management solutions.

📍 Poland, Remote.

🗃️​ B2B Contract.

🤖 What will you be doing?

1. Owning full model lifecycle: from research, experimentation and prototyping to deployment and monitoring.

2. Building and optimizing machine learning models using Python, e.g., customer lifetime value models, AI modules that support the recommendation engines and the use of a customer data platform.

3. Designing data pipelines and integrating ML solutions into production (search personalization, clickstream analysis, email triggers).

4. Improving and maintaining existing models to ensure performance, scalability, and robustness in production.

5. Collaborating closely with engineering, product and business teams to turn complex data into actionable product features.

6. Upholding high development standards by writing clean, maintainable code, conducting code reviews, and embracing DevOps practices like testing and CI/CD.

7. 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?

1. Experience in end-to-end data science projects (preferably in eCommerce, SaaS, MarTech space), with around 5 years of experience.

2. Strong background in Python.

3. Experience deploying models in production environments.

4. Experience with cloud infrastructure (Azure or AWS) would be an advantage

5. Solid understanding of statistics, modeling, and software engineering practices.

6. Analytical mindset with a passion for practical impact, not just research.

7. Excellent English and communication skills.

8. Strong communication skills, with the ability to explain data-driven insights to diverse audiences.

✨ Nice to have:

1. Experience with: Azure, DevOps, Docker, Kubernetes, Databricks, Cassandra, SQL.

2. Experience with Delta Lake and Spark for handling large-scale data.

3. Hands-on experience with deep learning (PyTorch, TensorFlow, MXNet).

✨ Why is it worth it?

1. An ability to take charge of your own projects.

2. Possibility to develop further in the MLOps space.

3. Flexible B2B Contract Model.

4. Private medical care (Luxmed or Medicover) & MultiSport package fully covered.

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

6. Supportive company culture – flat structure, strong teamwork and openness to new ideas.

7. 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.