Data Analytics Intern Jobs, Employment in Tempe,AZ Now Hiring September 2026

Data Scientist Senior

USAA

Phoenix, AZ 85070

RemoteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience
6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis
4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models
4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models
Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics
Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts
Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
Experience guiding and mentoring junior technical staff in business interactions and model building
Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results

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