À propos
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 & Qualifications
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: $135,600.00 – $151,300.00 annually. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job‑related knowledge, skills, experience, business requirements and geographic location.
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits such as an employee stock purchase plan.
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).
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Compétences linguistiques
- English
Avis aux utilisateurs
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