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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Specialist - Data Science - **Company:** Ally Financial Inc. - **Location:** Lewisville, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $85,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Business Software, Cloud Engineering, Software Quality, Code Review, Python (Programming Language), Machine Learning, Backtesting, Standard Sql, SAS (Software), Model Validation, Git, Information Technology, Data Analytics, Software Version Control - **Published:** September 2, 2026 - **Apply:** https://dejobs.org/x/x/B749F3194DCE4C20B9A419C8CCB77865/job/ ## About the Role * 3+ years of experience in analytics, data science, machine learning, applied statistics, or a related field * Bachelor's degree in a quantitative or technical discipline such as Math, Computer Science, Data Science, Analytics, Applied Statistics, or equivalent practical experience, * 4+ years of experience in analytics, data science, machine learning, or applied statistics with a track record of delivering business-impacting work. * Bachelor's or Master's degree in a quantitative or technical discipline such as Math, Computer Science, Data Science, Analytics, Applied Statistics, or equivalent practical experience. * Experience in financial services, preferably in auto lending, credit risk, pricing, fraud, servicing, or portfolio analytics. * Working knowledge of machine learning algorithms, cloud development environments such as AWS, and common data science, analytics, and BI methodologies. * Strong SQL and Python skills; experience with R or SAS is a plus. * Experience with exploratory data analysis, statistical model development, validation/testing, and model performance monitoring. * Familiarity with Git or other source control tools and collaborative development practices such as pull requests and code reviews. * Solid foundation in statistics and experiment design. * Ability to design and interpret controlled analyses or experiments and connect findings to business recommendations. * Strong written and verbal communication skills, with the ability to tailor content to both technical and non-technical audiences. * Experience working with cross-functional or matrix partners. * Ability to work independently on well-defined problems while collaborating effectively on more complex initiatives. * Comfort working with ambiguous business questions and imperfect data, with the ability to develop practical solutions. * Strong analytical thinking, problem-solving ability, and attention to detail. ## Description We are seeking a Senior Data Scientist to support Consumer Auto Servicing through data-driven insights, experimentation, and scalable analytical solutions. This individual contributor will partner closely with stakeholders to identify meaningful opportunities, develop models and analyses, and help translate findings into business action. The role is well suited for someone who is comfortable working through ambiguity, can independently drive work forward, and collaborates effectively with cross-functional partners to deliver measurable impact. The Work Itself * Partner with strategy, operations, and business leaders to translate business questions into data-driven analyses and solutions. * Communicate findings and recommendations clearly to technical and non-technical audiences to support decision-making. * Design, execute, and interpret experiments and analyses to evaluate business strategies and quantify impact. * Build, validate, and refine statistical and machine learning models for business applications. * Collaborate with data, engineering, and implementation teams to support deployment of models and analytical solutions into production. * Help develop automated monitoring, documentation, and controls aligned with Model Risk Management standards. * Perform model validation activities such as back testing, stability analysis, fairness assessment, and drift monitoring. * Build and maintain reliable datasets, features, and analytical workflows from enterprise data sources to support modeling and business analysis. * Contribute to the development of data assets such as standardized metrics, dashboards, feature sets, and monitoring for model and data quality. * Manage day-to-day project work, priorities, and deliverables across multiple initiatives with appropriate guidance and stakeholder alignment. * Build strong working relationships with cross-functional partners and develop a strong understanding of business goals and operational processes. * Contribute to best practices in modeling, experimentation, and code quality through documentation, code reviews, and collaboration with peers. * Proactively explore new data sources, tools, and methods to improve analysis, modeling performance, and delivery efficiency. ## Related Videos - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [Are Code Reviews Worth It? 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