Перейти до вмісту
RemoDevs

Data Scientist (Databricks)

Gdańsk
Kraków
Warszawa
Діє до 24 лис 2026
4 дні тому

Коротко

Data Scientist sought for e-commerce/retail project using Databricks. Responsibilities include ML model development, data analysis, and stakeholder collaboration. Requires Databricks, Python, SQL, Spark, and ML/AI experience. Offers work on a large-scale data & AI transformation.

Стислий виклад підготував ШІ на основі тексту оголошення.

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.

Опубліковано 2026-10-29
Джерело