Senior Data Scientist

About Sedona Digital

Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognised as one of the leading technology companies in Romania.

Role Overview

Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions. We are looking for a Senior Data Scientist with strong experience across Azure data and AI services, capable of independently designing, building, and deploying machine learning solutions that drive business impact.

What We Value

• Obsess about our customers
• Build robust, scalable technical solutions
• Create an open, collaborative culture
• Invest in learning and long‑term careers

Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions using Azure Machine Learning (Azure ML)
• Build, train, evaluate, and optimize models using techniques such as classification, regression, and advanced analytics
• Collaborate with data engineers to define and consume curated datasets from Azure Synapse, ADLS, and Azure SQL
• Develop scalable feature engineering and model training pipelines
• Operationalize ML models using MLOps practices, including versioning, monitoring, and retraining strategies
• Translate business problems into analytical solutions and communicate insights clearly to stakeholders
• Work with large datasets using Python, SQL, and distributed processing frameworks
• Contribute to the design of analytics and AI architectures across Azure ecosystems
• Implement best practices for model explainability, reproducibility, and governance
• Support visualization and insight delivery through Power BI or similar tools
• Collaborate with product owners, engineers, and business stakeholders to drive data-driven decision-making
• Participate in client engagements, including discovery, experimentation, and solution design phases