Data Scientist (Databricks)
⚲ Warszawa, Gdańsk, Kraków
20 000 - 26 000 PLN netto (B2B)
Wymagania
- Data Science
- Python
- Databricks
Opis stanowiska
Data Scientist – Databricks | E-commerce / Retail
We are looking for a Data Scientist with hands-on Databricks experience to join a data & AI project for a large-scale e-commerce / retail business, focused on turning large volumes of customer, sales and operational data into scalable ML-driven solutions.
What you’ll do
• Design, develop and deploy machine learning models using large-scale retail and e-commerce data.
• Work with data from multiple sources and collaborate closely with Data Engineers, Analytics and Business stakeholders.
• Translate business problems into data science solutions with measurable impact.
• Work with Databricks and Spark-based data environments to prepare, analyse and model large datasets.
• Contribute to the development of production-ready ML solutions and improve existing models and approaches.
• Present findings and recommendations to both technical and non-technical stakeholders.
Your experience
•
Hands-on experience with Databricks is required.
•
Previous experience in e-commerce or retail is a must.
• Strong experience in Data Science / Machine Learning.
• Strong Python and SQL skills.
• Experience with PySpark / Spark and large-scale data processing.
• Good understanding of statistical modelling and ML techniques.
• Experience taking models from experimentation towards production will be a strong advantage.
• Ability to understand business needs and translate them into practical data solutions.
• Good communication skills and the ability to work effectively in a cross-functional team.
Relevant domain experience
You should have hands-on experience in at least one of the following areas:
•
Customer 360 & Personalization – customer segmentation, recommendations, propensity or churn modelling.
• Demand Forecasting & Inventory – sales forecasting, inventory optimization or replenishment.
• Unified Data Platform / Analytics – working with integrated data from multiple business systems and building solutions on top of a unified data layer.
Tech stack
Databricks, Python, SQL, PySpark / Spark, ML / AI, Cloud
Why join?
You’ll work on a real-world, high-scale data & AI transformation in e-commerce / retail, where your models and solutions will directly support business decisions and customer-facing use cases.
We are looking for a Data Scientist with hands-on Databricks experience to join a data & AI project for a large-scale e-commerce / retail business, focused on turning large volumes of customer, sales and operational data into scalable ML-driven solutions.
What you’ll do
• Design, develop and deploy machine learning models using large-scale retail and e-commerce data.
• Work with data from multiple sources and collaborate closely with Data Engineers, Analytics and Business stakeholders.
• Translate business problems into data science solutions with measurable impact.
• Work with Databricks and Spark-based data environments to prepare, analyse and model large datasets.
• Contribute to the development of production-ready ML solutions and improve existing models and approaches.
• Present findings and recommendations to both technical and non-technical stakeholders.
Your experience
•
Hands-on experience with Databricks is required.
•
Previous experience in e-commerce or retail is a must.
• Strong experience in Data Science / Machine Learning.
• Strong Python and SQL skills.
• Experience with PySpark / Spark and large-scale data processing.
• Good understanding of statistical modelling and ML techniques.
• Experience taking models from experimentation towards production will be a strong advantage.
• Ability to understand business needs and translate them into practical data solutions.
• Good communication skills and the ability to work effectively in a cross-functional team.
Relevant domain experience
You should have hands-on experience in at least one of the following areas:
•
Customer 360 & Personalization – customer segmentation, recommendations, propensity or churn modelling.
• Demand Forecasting & Inventory – sales forecasting, inventory optimization or replenishment.
• Unified Data Platform / Analytics – working with integrated data from multiple business systems and building solutions on top of a unified data layer.
Tech stack
Databricks, Python, SQL, PySpark / Spark, ML / AI, Cloud
Why join?
You’ll work on a real-world, high-scale data & AI transformation in e-commerce / retail, where your models and solutions will directly support business decisions and customer-facing use cases.
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