Lead ML & Data Science Engineer

Brillio 2; Región Centro; Presencial; MXN 500.000 - 760.000; Jornada completa

Descripción de la vacante

Brillio 2 is seeking an experienced Data Scientist in Mexico to develop and maintain predictive models for business decisions. You will design feature engineering pipelines, perform exploratory data analysis, and build segmentation analyses to drive actionable insights.

You will collaborate with engineering for model deployment and ensure data quality and reproducibility. The role requires 5+ years in Data Science/ML, strong Python skills, SQL proficiency, and experience with large-scale data

Formación

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

Responsabilidades

• 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.
• Evaluate and refine model performance.
• Translate insights into actionable business recommendations.
• Create dashboards and visualizations.
• Collaborate with engineering teams for model deployment.
• Ensure data quality and reproducibility.

Conocimientos

Python

Feature engineering

ML / Advanced analytics

SQL

Data visualization

Herramientas

Spark

Databricks

Power BI

Matplotlib

Seaborn

Descripción del empleo

Brillio 2 is seeking an experienced Data Scientist in Mexico to develop and maintain predictive models for business decisions. You will design feature engineering pipelines, perform exploratory data analysis, and build segmentation analyses to drive actionable insights.

You will collaborate with engineering for model deployment and ensure data quality and reproducibility. The role requires 5+ years in Data Science/ML, strong Python skills, SQL proficiency, and experience with large-scale data