Data Scientist (Databricks)
Коротко
Applies data science methods using Python and Databricks. · Needs: Requires Data Science, Python, and Databricks skills.
Описание от работодателя
Required skills: Data Science, Python, Databricks
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.