Sr Data Scientist; Remote

Who We Are

Join a team that puts its People First! As a member of First American's family of companies, First American Home Warranty offers a wide range of home warranty products and services to home sellers, buyers and agents. 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.

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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 advanced machine learning and data mining methodologies. Designs, develops, and implements high-impact, scalable business solutions that drive measurable value across the organization. Partners cross-functionally to translate business needs into analytical frameworks and actionable insights.

• Leverage expertise in handling large, complex datasets to perform exploratory data analysis, feature engineering, and statistically sound sample design
• Build, validate, deploy, and enhance complex predictive and machine learning models using data from multiple structured and unstructured sources to materially improve business outcomes
• Design, build, deploy, and monitor machine learning models in production environments, ensuring scalability, reliability, and performance
• Implement model lifecycle management best practices including versioning, experiment tracking, monitoring, retraining strategies, and performance optimization (e.g., MLflow or similar frameworks)
• Automate feedback loops for algorithms and models in production while creating scalable, repeatable data science processes and production-grade data products
• Design and execute experiments (A/B testing, causal inference frameworks) to evaluate model performance and business impact
• Act as a technical subject matter expert, recommending and developing innovative analytical approaches aligned with strategic priorities
• Translate complex analytical findings into clear business insights and present results to executive and non-technical audiences
• Mentor junior data scientists and contribute to establishing enterprise best practices in modeling, governance, and documentation
• Collaborate with data engineering teams to ensure robust pipelines, high data quality, and scalable model deployment
• Influence cross-functional teams and drive adoption of data-driven decision-making
• Other duties as assigned

Required Education, Experience, Certification/Licensure

• Bachelor's degree or equivalent experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or related discipline
• Master's or PhD preferred
• 5-7+ years of professional experience building, validating, deploying, and monitoring predictive and machine learning models in production environments
• Strong programming expertise in Python with hands-on experience building end-to-end ML solutions
• Experience with MLflow (or similar model lifecycle tools) for experiment tracking, model versioning, and deployment management
• Experience working with SQL and large-scale data processing frameworks such as Apache Spark
• Experience designing scalable data solutions in modern data platforms; experience with Microsoft Fabric is a plus
• Proven experience applying machine learning techniques (e.g., regression, classification, clustering, ensemble methods, NLP, etc.)
• Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders

Pay Range: $ - $ Annually…