Senior Data Scientist - Marketing (Hybrid)

Enova • Chicago, IL

6d • Hybrid

About The Position

We are looking for a Senior Data Scientist to own value-based bidding (VBB) across our digital marketing channels. This role sits at the intersection of machine learning and paid media, where models will directly make decisions that drive digital marketing spend day-to-day. The core of this job is to predict what each prospective customer is actually worth over their full lifetime and feed that value signal back to platforms like Google Ads and Meta so their bidding algorithms spend every dollar optimizing on long-term profitability. Building those value models and the automated systems that deliver their predictions to ad platform partners is the core of this job. You will sit within the Marketing team at the center of our digital acquisition strategy, while working as part of Enova's broader data science community. You will collaborate closely with the Pricing & Profitability team, whose lifetime value and profitability models form the analytical foundation your bidding models will build on. Beyond VBB, you'll be the analytical partner to Marketing across all digital channels, helping the team understand what's working, design experiments that prove it, and allocate budget where it earns the best return. A marketing background is not required; a strong data scientist who wants to see their models directly move spend, volume, and profitability every day will be taught the domain.

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

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior