ETL Developer (Data Science)

TL;DR

ETL Developer (Data Science): Developing predictive models and feature engineering pipelines for business decision-making with an accent on exploratory data analysis and model performance. Focus on building segmentation analyses and collaborating with engineering teams for model deployment.

Location: Hybrid in Guadalajara, Jalisco, Mexico

Company

hirify.global is a global digital engineering firm focusing on digital transformation and technology services.

What you will do

• Develop and maintain predictive models for business decision-making.
• Design and implement feature engineering pipelines.
• Perform exploratory data analysis to identify trends and drivers.
• Build segmentation and cohort analyses and evaluate model performance.
• Create dashboards and visualizations to translate insights into actionable business recommendations.
• Collaborate with engineering teams for model deployment and ensure data quality.

Requirements

• 5+ years in Data Science, ML, or Advanced Analytics.
• Strong Python skills (pandas, numpy, scikit-learn).
• Experience with large-scale data using Spark and Databricks.
• Strong SQL and data warehousing knowledge.
• Solid understanding of statistical and ML techniques.
• Experience with visualization tools such as Power BI, matplotlib, or seaborn.

Nice to have

• Experience with Azure.
• Exposure to MLOps and end-to-end ML pipelines.
• Strong stakeholder collaboration skills.