> Markdown version of [/jobs/ext/4707921-data-scientist-sr](https://www.wearedevelopers.com/jobs/ext/4707921-data-scientist-sr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist Sr.

- **Company:** TOWN'S EDGE CAR WASH, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Cluster Analysis, Computer Programming, Databases, Information Engineering, Query Languages, JSON, Python (Programming Language), Logistic Regression, Machine Learning, NoSQL, Software Deployment, SQL Databases, Computational Statistics, Support Vector Machine, Unstructured Data, Extensible Markup Language (XML), Information Technology, Optimization Algorithms, Machine Learning Operations, K Means, Unsupervised Learning
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvt8nve5g

## About the Role

* Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or a related quantitative discipline; or equivalent experience substituting the degree requirement.
 * Minimum of 6 years of experience in predictive analytics or data analysis; or an advanced degree (Master's or PhD) with at least 4 years of relevant experience.
 * At least 4 years of experience 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.
 * Strong experience in querying and preprocessing data from structured and unstructured databases using SQL, HQL, NoSQL, or similar query languages.
 * Experience working with various data formats including numeric files, JSON/XML, text documents, and images.
 * Demonstrated ability to perform descriptive, diagnostic, and inferential statistical analyses.
 * Understanding of regulatory requirements and the ability to assess their implications on modeling efforts.
 * Advanced knowledge of supervised modeling techniques such as linear/logistic regression, decision trees, support vector machines, and forest models.
 * Experience with unsupervised learning methods including k-means clustering, hierarchical clustering, and DBSCAN.
 * Proven ability to mentor junior data scientists and guide them in technical and business interactions.
 * Strong communication skills to convey complex analytical results to non-technical stakeholders with actionable business recommendations.

## Description

We are seeking a dedicated Senior Data Scientist to join our team. In this role, you will translate complex business problems into actionable insights using advanced statistical, machine learning, simulation, and optimization techniques. You will collaborate closely with engineering teams to deliver scalable solutions and customer-facing applications. This role requires expertise in database management, cloud technologies, and programming to build robust analytical models. You will also work with model risk management teams to validate model results and ensure compliance before production deployment. This position offers remote eligibility within the continental U.S., with occasional business travel, and requires on-site presence for candidates living within a 60-mile radius of a USAA office., * Gather, interpret, and manipulate structured and unstructured data to develop advanced analytical solutions.

 * Design and implement scalable, automated machine learning, simulation, and optimization models to generate business insights and drive value.
 * Select appropriate modeling techniques based on data characteristics, business needs, and application requirements.
 * Develop and deploy models within the Model Development Control and Model Risk Management frameworks.
 * Create and maintain technical documentation for knowledge sharing, risk management, and peer review.
 * Collaborate with business and analytics leaders to identify, prioritize, and recommend analytical projects that add business value.
 * Build and maintain a library of reusable, production-quality algorithms and code to ensure transparency and reproducibility.
 * Translate complex business requests into specific analytical questions and communicate findings effectively to business partners.
 * Manage project milestones, risks, and impediments, escalating issues as necessary to ensure project success.
 * Develop best practices for collaboration with Data Engineering and IT teams to deploy production-ready analytical assets.
 * Stay current with emerging techniques, technologies, and methodologies in data science and analytics.
 * Mentor junior data scientists in modeling, analytics, and computer science techniques.
 * Participate in internal communities to promote data science culture and technology advancement.
 * Ensure compliance with risk and regulatory policies by effectively identifying, measuring, monitoring, and controlling risks associated with business activities.