Who We Are

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for ten consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.

What We Do

Identifies business trends and problems through complex data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops, and implements the most valuable business solutions for the organization.

HOW YOU’LL CONTRIBUTE

• Leverage skills and advanced learning in handling large datasets to perform exploratory analysis, construct relevant variables, and perform sample design
• Build predictive models to improve business operations
• Recommend and develop innovative analytic solutions
• Prepare presentations and documentation of models and analytical solutions
• Other duties as assigned

WHAT YOU’LL BRING

Required Education, Experience, Certification/Licensure

• Bachelor’s degree or equivalent in a related quantitative field such as Mathematics, Statistics or Computer Science
• Master’s or PhD degree preferred
• 0-2 years of related work experience
• Typically has related work and/or internship experience

KNOWLEDGE, SKILLS, AND ABILITIES (KSAs)

• Some experience with large datasets
• Knowledge and experience with diverse statistical and data mining methods (e.g. - GLM/Regression, Trees, Clustering, PCA, SVM, Time Series analysis etc.)
• Experience with packages/languages such as SAS, R, or Python
• Understanding of RDBs and interactive SQL programming skills
• Aptitude for picking up new technologies
• Written and verbal communication skills
• Interpersonal skills
• Self-motivated; self-starter
• Ability to manage multiple tasks and respond quickly to requests for information
• Proficient in Microsoft Word, Excel and PowerPoint

What We Offer

By choice, we don’t simply accept individuality – we embrace it, we support it, and we thrive on it! Our People First Culture celebrates diversity, equity and inclusion not simply because it’s the right thing to do, but also because it’s the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.

First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).

First American intends to conduct a review of an applicant’s criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.

Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.