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This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time. In short, the Assistant Director, Data Science role sits at the intersection of analytics, strategy, and execution, leading high-impact Inventory and Pricing initiatives that directly influence how DriveTime buys, prices, and reconditions vehicles. You’ll own model strategy end-to-end—turning complex business problems into scalable, production-ready solutions—while partnering closely with Product, Operations, Engineering, and Analytics to drive measurable results. This is a hands-on leadership role for someone who can balance technical depth with real-world business judgment and develop strong data science talent along the way.
Job Responsibility:
Leading data science strategy and execution across Inventory and Pricing initiatives, with a focus on measurable business impact
Owning the development, validation, deployment, and ongoing optimization of models supporting key use cases such as Cosmetic Recon, Pricing Turn, and Outlier Recon detection
Designing and operationalizing model monitoring frameworks to ensure performance, reliability, and long-term scalability
Translating ambiguous business problems into clear modeling approaches and actionable insights
Partnering cross-functionally with Product, Operations, Engineering, and Analytics to align model solutions with business priorities
Leveraging AI-enabled and automation-driven workflows to improve data science productivity and decision quality
Coaching, mentoring, and developing data science talent while setting a high technical and execution standard
Establishing durable ownership and leadership for Inventory-focused data science capabilities
Requirements:
4+ years of experience in data science, machine learning, or advanced analytics
2+ years of experience leading, managing, or mentoring technical analytics or data science talent
Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Finance, Computer Science, Physics, Chemistry, or equivalent practical experience
Advanced proficiency in Snowflake, SQL, and Python
Strong experience building, deploying, and improving production-relevant models
Nice to have:
Experience using AI-assisted or automation-focused tooling to support and accelerate data science workflows
What we offer:
Medical, dental, and vision insurance
401(K)
Company paid life insurance policy
short and long-term disability coverage
Tuition Reimbursement
Wellness Program
Paid Time Off (wellness days, holidays, vacation time)