Data Scientist (Databricks)

Wynagrodzenie
B2B: 20000 – 26000 PLN / mies. netto

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.