Data Scientist – Predictive Analytics & ML Pipelines

Monks; Ciudad de México; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Monks is seeking a Data Scientist to develop solutions for digital marketing use cases using statistical methods, data mining and data engineering. You will work with Analytics, Media Account Management, and Technical Solutions Engineering teams to deliver end-to-end projects, from data discovery to model deployment and evaluation.

The role emphasizes propensity models, segmentation, churn, recommendation systems, and descriptive analytics, with responsibilities spanning discovery workshops,

Qualifications

• MSc or higher in a quantitative STEM subject.

Responsibilities

• Nurture client understanding of data-driven strategies.
• Use predictive modeling to improve customer experiences and revenue.
• Create models to quantify influence of online activity on conversions.
• Deploy cloud resources for large data analyses.
• Build ML pipelines from data wrangling to production.
• Explain data and model results to clients and teams.
• Mine data to support analytics projects and hypotheses.

Skills

Propensity modeling

Segmentation

Churn modeling

Recommendation systems

Descriptive analytics

MLOps

Python

R

SQL

BigQuery

Education

MSc or higher in quantitative STEM

Tools

Power BI

Tableau

Looker

Azure

AWS

GCP

Job description

Monks is seeking a Data Scientist to develop solutions for digital marketing use cases using statistical methods, data mining and data engineering. You will work with Analytics, Media Account Management, and Technical Solutions Engineering teams to deliver end-to-end projects, from data discovery to model deployment and evaluation.

The role emphasizes propensity models, segmentation, churn, recommendation systems, and descriptive analytics, with responsibilities spanning discovery workshops,