Senior Data Scientist - Marketing (Hybrid)
Chicago, IL (Hybrid)
Posted 5 days ago
Job Summary
Own the end-to-end value estimation and deployment workflow for value-based bidding, including model development, automated data pipelines, and experiments, aligned with Enova’s ROI and lifetime value frameworks; collaborate with Marketing and Pricing to optimize channel performance and measurement.
- Model development and validation for customer lifetime value at early funnel stages
- Build automated systems to deliver estimates to ad platforms and ensure reliability
- Design experiments to assess impact on acquisition efficiency and portfolio quality
Job Description
Responsibilities
- Build, validate, and maintain machine learning models that estimate customer lifetime value at early funnel stages (click, lead, application) where value signals are needed for real-time bidding
- Design and implement the automated systems that pass value estimates to ad platforms — offline conversion uploads, conversion APIs, and server-side integrations with partners like Google Ads and Meta — and own their reliability, latency, and data quality
- Partner with the Pricing & Profitability team to ensure your value estimates stay consistent with Enova's core lifetime value and return-on-equity models as they evolve
- Design and analyze experiments (holdouts, geo tests, incrementality studies) that measure whether value-based bidding actually improves acquisition efficiency and portfolio quality
- Act as a data science partner to the broader Marketing team on channel optimization: budget allocation, audience and segmentation strategy, campaign measurement, and funnel analytics across paid search, paid social, and other digital channels
- Communicate insights and recommendations to Marketing and Data Science leadership, providing a data-driven perspective on where and how we grow
Requirements
- Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
- 4+ years of experience in Data Science, Analytics, or a related field
- Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis
- Experience working with relational databases, such as SQL
- Excellent knowledge of applied statistical methods and machine learning models
- Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
Preferred
- Exposure to digital marketing or martech/adtech: paid search or paid social platforms, conversion tracking, attribution, or marketing measurement
- Experience in finance or lending, lifetime value estimation, or unit economics modeling
- Experience deploying models into production systems or building automated data pipelines
Benefits
- Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
- Health, dental, and vision insurance including mental health benefits
- 401(k) matching plus a roth option (U.S. Based employees only)
- PTO & paid holidays off
- Sabbatical program (for eligible roles)
- Summer hours (for eligible roles)
- Paid parental leave
- DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
- Employee recognition and rewards program
- Charitable matching and a paid volunteer day…Plus so much more!
Enova International (NYSE: ENVA) is a leading online financial services company that serves small businesses and consumers who are underserved by traditional banks. For over 20 years, Enova has provided over $65 billion in loans and financing to more than 13 million customers by offering a suite of market-leading products powered by the company's world-class analytics, machine learning algorithms and proprietary technology. You can learn more about the company and its portfolio of businesses at www.enova.com.
Salaries
Posted range
$96K/yr – $125K/yr
Taken straight from the job posting.
Marketing Team
People
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Funding
Funding History
- Aug 2024Post IPO Debt • $500M
- Dec 2023Post IPO Debt • $400M
