Description

You will develop and deploy machine learning models and data pipelines within a complex, industrialized codebase.

Responsibilities

• Build and maintain industrialized data pipelines including data extraction, wrangling, and normalization.
• Develop machine learning models and time series forecasting using advanced statistics.
• Apply data science best practices such as back-testing and piloting within a business context.
• Deliver production-grade code following standard SDLC and DevOps processes.
• Synthesize complex problems and convey insights through storytelling to cross-functional audiences.

Required Skills

• 5+ years of experience in data science and model architecture.
• Proficiency in Python, SQL, R, or Scala.
• Deep understanding of advanced statistics and time series forecasting.
• Experience with version control (GitHub/SVN) and CI/CD workflows.
• Experience with SDLC processes and delivering production-grade code.
• Ability to manage data through extraction, normalization, and wrangling.
• Experience using business intelligence tools like Power BI or Tableau.

Preferred Skills

• Knowledge of big data frameworks like Spark.
• Experience with Azure and Databricks.
• Understanding of design and architecture principles.

Key Skills

Education

Any Graduate