✦ Luna Orbit — Data & Analytics

Untitled Position

at Company

Hybrid Posted March 30, 2026
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

The Principal - Data Science is an independent contributor role focused on end-to-end data science initiatives for Ally's Consumer Auto Servicing. The role involves problem framing, data acquisition, modeling, deployment, and measuring impact, while mentoring developing analytics professionals and collaborating with cross-functional partners.

  • Partner with business leaders to translate ambiguous questions into data-driven solutions
  • Design, implement, and interpret experiments to evaluate strategy changes and quantify impact
  • Build robust, scalable models and analytics pipelines; ensure reliability and observability
  • Develop high-quality data assets: feature stores, dashboards, and data quality monitoring
  • Own end-to-end project delivery including stakeholder alignment, risk management, and on-time delivery

Stack includes SQL, Python (and optionally R/SAS), AWS, Git; end-to-end data pipelines; robust modeling, validation, back-testing, and monitoring; productionizing analytics pipelines; feature stores; model risk management; dashboards and data assets.

The ideal candidate is a senior data science leader with 5+ years of analytics/machine learning experience in financial services, strong AWS and SQL skills, and a proven track record of productionizing models and building end-to-end data pipelines. They excel at partnering with stakeholders, mentoring analytics professionals, and translating ambiguous business questions into measurable, data-driven solutions.

5+ years experience in analytics or data scienceStrong working knowledge of machine learning algorithmsAWS and cloud development toolsSQLPythonGitstatistical modelingdesign and interpretation of experimentsproductionize modelsdata pipelinesdata quality monitoringmodel risk managementexploratory data analysisfeature storesback testingcontrolled experimentsdashboards
RSASauto lending domainmentoring via code reviews
5+ years experience in analyticsdata sciencemachine learningor applied statistics; domain experience in financial services (auto lending) preferred; strong working knowledge of machine learning algorithms; AWS and cloud development tools; Data Science/Analytics/BI methodologies; Advanced skills in SQLPython (R or SAS a plus); strong skills in exploratory data analysisstatistical model developmentvalidation/testingand operation (including performance monitoring); Git/source control; Advanced knowledge of statistics and experiment design; Ability to designexecuteand interpret controlled experiments
SQLPythonRSASGitAmazon Web ServicesAWSdata pipelinesfeature storesmodel deploymentback testingexperimentationdrift monitoringmodel validationdashboardsdata quality monitoringproductionize modelsdata assetsstatistical modelingETL
communicationstakeholder managementcross-functional collaborationmentoringproblem solvingattention to detailadaptabilityleadership
Industry Fintech
Job Function Deliver end-to-end data science projects that drive measurable business outcomes and mentor analytics professionals
Role Subtype Data Scientist
Tech Domains SQL, Python, Amazon Web Services, Git, Machine Learning, Data pipelines, Feature stores, Statistical modeling, Experiment design, Back testing
principal data sciencedata sciencedata scientistsqlpythonamazon web servicesawsgitdata pipelinesfeature storesmodel deploymentmodel risk managementback testingcontrolled experimentsstatistical modelingexperimentationdashboardsdata quality monitoringproductionize models

Less than 5+ years of analytics/data science experience, Lack of AWS/Python/Git experience, No domain experience in financial services/auto lending, Inability to work in a hybrid environment

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