Senior Data Scientist
Role details
Job location
Tech stack
Job description
We are looking for brilliant Data Science minds for high-impact projects in Advanced Analytics and MLOps. If you are passionate about moving models from the lab to production, this role is for you.
The Challenge
As an architect of business value, your responsibilities include:
Identify and frame analytics opportunities to optimize workflows.
Design predictive models using Python, R, SQL, and Databricks.
Manage the full MLOps Life Cycle, ensuring model operationalization into real business workflows.
Partner with Data Engineers to integrate ML solutions into production.
Requirements
Technical Mastery: Experience in Python, R, SQL and environments like Anaconda or Databricks.
MLOps Expertise: Ability to manage the full ML life cycle.
Cloud Power: Knowledge of Microsoft Azure (Azure ML, Data Factory) is highly preferred.
Soft Skills: Ability to synthesize technical findings into business recommendations.
Language: Advanced English (mandatory).
Benefits & conditions
Contract: Full-time employee.
Work setup: 100% Remote.
Compensation: Competitive salary in ARS.
Impact: Work on global-scale projects.
