Senior Data Scientist & Mentor — Strategic Analytics

Farmers Insurance; Estado de México; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Farmers Insurance is seeking a data scientist to apply advanced analytics and modeling to improve business results. You will leverage customer information and behavioral data to influence strategic decisions using ML and data mining techniques. You may manage a small team of up to two junior data scientists.

Responsibilities include mentoring teammates, developing scalable data science solutions, deploying models via MLOps, and presenting results to leadership with clear communication.

Formación

• Minimum three years of work experience in data analysis, statistical or mathematical modeling.
• Masters degree preferred in data science, statistics, mathematics, business analytics or related.
• Experience deploying models in production and collaborating with IT teams.

Responsabilidades

• Apply advanced analytics and modeling to improve business results.
• Lead small projects operationalizing business decisions with limited guidance.
• Mentor up to two junior data scientists on the team.
• Deploy models and rules using MLOps in various platforms.
• Present results to leadership in clear, non-technical terms.

Conocimientos

Advanced analytics

Statistical modeling

Machine learning

Team mentorship

Data visualization

Communication to leadership

MLOps deployment

Educación

Master's degree in data science

Masters in statistics

Business analytics related field

High School Diploma

Herramientas

Python

ETL

MLOps

Descripción del empleo

Farmers Insurance is seeking a data scientist to apply advanced analytics and modeling to improve business results. You will leverage customer information and behavioral data to influence strategic decisions using ML and data mining techniques. You may manage a small team of up to two junior data scientists.

Responsibilities include mentoring teammates, developing scalable data science solutions, deploying models via MLOps, and presenting results to leadership with clear communication.