Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist (Individual Contributor)
• Focus: Consumer Auto Servicing analytics, experimentation, and scalable modeling solutions

Description

Work with strategy, operations, and business leaders to turn business questions into data-driven analyses and recommendations. Design and run experiments, build and validate statistical and machine learning models, and help deploy them into production. Implement monitoring, documentation, and model risk controls while maintaining reliable datasets and analytical workflows.

Responsibilities

• Translate business questions into analyses and solutions
• Communicate findings clearly to technical and non-technical audiences
• Design, execute, and interpret experiments and analyses to quantify impact
• Build, validate, and refine statistical and machine learning models
• Collaborate with data/engineering/implementation teams to support model deployment
• Develop automated monitoring, documentation, and controls aligned with Model Risk Management
• Perform model validation (back testing, stability analysis, fairness assessment, drift monitoring)
• Build and maintain datasets, features, and analytical workflows from enterprise data sources
• Contribute to standardized metrics, dashboards, feature sets, and model/data quality monitoring
• Manage day-to-day priorities and deliverables across multiple initiatives
• Improve modeling/experimentation/code quality through documentation and code reviews
• Proactively explore new data sources, tools, and methods

Requirements

• 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 (or equivalent practical experience)
• Strong SQL and Python skills (R or SAS is a plus)
• Solid statistics foundation and experiment design
• Experience with exploratory data analysis, model validation/testing, and performance monitoring
• Familiarity with Git/source control and collaborative practices (pull requests, code reviews)
• Ability to communicate with both technical and non-technical stakeholders

Benefits

• Market-competitive base pay and pay-for-performance incentives
• Time away: 20 paid time off days (prorated) + 11 paid holidays + 8 hours volunteer time yearly
• 401(k) with matching and company contributions; student loan paydowns; 529 assistance; tuition reimbursement; employee stock purchase plan
• Flexible health and insurance options including medical, dental, vision, life-related coverage, disability, and HSA/FSA options
• Parental and caregiver leave plus adoption/surrogacy/fertility assistance
• Employee assistance program; discounted Weight Watchers program; other discounts
• Potential travel allowances, relocation assistance, signing bonus, and/or equity depending on role
• Eligibility for annual incentive plan