Predictive Analytics Manager I

🔥 2 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Farmers Insurance

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1928

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Farmers Insurance is a prominent insurance company providing a wide range of insurance products to customers. They offer car, motorcycle, boat, and other vehicle insurance, as well as a variety of property insurance options including homeowners, renters, and landlord insurance. Additionally, Farmers Insurance provides life insurance products and business insurance solutions. They also have specialized insurance for pets, rideshare drivers, and offer personal umbrella policies. Farmers Insurance is dedicated to ensuring the security and privacy of their customers, offering a comprehensive portfolio of insurance services across the United States.

📋 Description

• Develop and implement predictive models using advanced statistical and machine learning techniques, including regression, clustering, decision trees, and neural networks • Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability • Partner with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights clearly • Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact • Explore, prepare, and structure large internal and external datasets to support model development and enhancement • Contribute to the design and continuous improvement of modeling frameworks, processes, and best practices • Ensure data quality and model integrity through rigorous validation and review processes • Develop understanding of the data landscape, including sourcing, mapping, and integrating data across systems • Support enterprise data initiatives such as data migration and transformation programs • Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices • Stay current on industry trends, particularly within insurance analytics and predictive modeling

🎯 Requirements

• Experience in predictive analytics, data science, or a related field • Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field • Professional experience in insurance or pricing analytics is a strong plus • Strong experience with Python, R, and SQL • Experience with SAS is a plus • Advanced knowledge of predictive modeling and machine learning techniques • Advanced knowledge of statistical analysis and data mining • Advanced knowledge of data preparation and feature engineering • Strong understanding of data ecosystems and ability to navigate complex data environments • Ability to translate complex data into clear, actionable insights • Excellent communication skills, with the ability to present analytical findings to diverse audiences • Problem-solving mindset with the ability to work independently in a fast-evolving environment • Experience contributing to or building analytics capabilities from scratch is highly valued • Collaborative and proactive approach, with a willingness to share knowledge and mentor others • Experience working with cross-functional teams in data-driven environments • Valid, local legal authorization to work in Mexico at the time of hire • No parallel employment, professional activities, or paid work for other entities during employment • Disclosure and formal review of ownership, partnership, directorship, or participation in other businesses or companies

🏖️ Benefits

• Competitive salary opportunities • Performance-based bonuses • Comprehensive benefits • Ongoing training and development resources