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# Data Scientist II (Mid Level)

- **Company:** Washington and Idaho Railway Inc
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Data Analysis, Cluster Analysis, Databases, Information Engineering, Query Languages, JSON, Python (Programming Language), Knowledge Management, Logistic Regression, Machine Learning, NoSQL, SQL Databases, Support Vector Machine, Unstructured Data, Extensible Markup Language (XML), Usage Analysis, Information Technology, Machine Learning Operations, K Means
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8enpou4u

## About the Role

* Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or a related quantitative field; OR 4 years of relevant education and/or experience.
 * Minimum of 2 years' experience in predictive analytics or data analysis, or an advanced degree (Master's, PhD) in a relevant quantitative discipline.
 * Proven experience in training and validating statistical, machine learning, and advanced analytics models.
 * Proficiency in dynamic scripting languages such as Python or R for statistical analysis and AI/ML model development.
 * Ability to write clear, well-documented, and maintainable code with high transparency.
 * Experience querying and preprocessing data from structured and unstructured databases using SQL, HQL, NoSQL, or similar query languages.
 * Familiarity with handling structured, semi-structured, and unstructured data formats including delimited files, JSON/XML, text documents, and images.
 * Knowledge of classical supervised modeling techniques such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods.
 * Experience with unsupervised modeling methods including k-means clustering, hierarchical clustering, nearest neighbors algorithms, and DBSCAN.
 * Strong communication skills with the ability to translate technical results to non-technical stakeholders.

## Description

We are currently seeking a dedicated Data Scientist II (Mid Level) specializing in Pricing and Product Analytics. This role is remote eligible within the continental United States, with occasional business travel required. Candidates residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. The successful candidate will join our Auto and Property Data Science teams, focusing on building models related to loss, acquisition, retention, and lifetime value., * Gather, interpret, and manipulate structured and unstructured data to develop analytical solutions aligned with business objectives.

 * Select appropriate modeling techniques and technologies considering data limitations and business needs.
 * Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
 * Prepare comprehensive technical documentation for knowledge retention, risk management, and technical review purposes.
 * Translate business requests into analytical questions, execute analyses, and communicate findings effectively to business partners.
 * Collaborate with Data Engineering, IT, and other stakeholders to deploy analytical solutions consistent with customer vision and modeling best practices.
 * Continuously seek opportunities to learn new techniques, technologies, and methodologies to enhance analytical capabilities.
 * Ensure business risks are properly identified, measured, monitored, and controlled in compliance with risk and regulatory policies.