Senior FP&A Data Scientist - AI & Databricks Leader

Accelone Llc; Quilmes; Hybrid; ARS 92,724,000 - 185,448,000; Full time

Benefits offered by this job

Job summary

Medtronic in Argentina is seeking a Senior Data Scientist to leverage Databricks, Generative AI, and advanced analytics to drive smarter finance decisions and scalable insights. You will shape data strategy, partner with Finance, FP&A, Data Science, and IT, and automate critical processes across the organization.

The role emphasizes applying forecasting and ML techniques, building data pipelines, and delivering self-service analytics at scale in a global healthcare technology environment.

Qualifications

• 3–5 years of experience in data science, data engineering, analytics, or a related role.
• Strong Python and SQL skills.
• Experience with Databricks, PySpark, or Spark-based processing.
• Experience building data pipelines and working with large, complex datasets.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights.
• Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.
• Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.
• Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.
• Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights.
• Contribute to high-impact initiatives that advance how data and AI are used across Finance.

Skills

Databricks

Python

SQL

Power BI

PySpark

Tools

Databricks

Data Factory

SQL

Python

Power BI

Job description

Medtronic in Argentina is seeking a Senior Data Scientist to leverage Databricks, Generative AI, and advanced analytics to drive smarter finance decisions and scalable insights. You will shape data strategy, partner with Finance, FP&A, Data Science, and IT, and automate critical processes across the organization.

The role emphasizes applying forecasting and ML techniques, building data pipelines, and delivering self-service analytics at scale in a global healthcare technology environment.