Senior Data Scientist - Marketing (Hybrid)
Required skills
- Python
- SQL
- machine learning
- statistical methods
- data analysis
- experiment design
- value-based bidding
- customer lifetime value
- ad platforms
- automated data pipelines
Nice to have
- digital marketing
- martech
- adtech
- paid search
- paid social
- conversion tracking
Role summary
Seeking a Senior Data Scientist to lead value-based bidding (VBB) for digital marketing channels. This role bridges machine learning and paid media, directly influencing daily marketing spend by predicting customer lifetime value. You will build and maintain ML models, design automated systems for ad platform integration (Google Ads, Meta), and analyze experiments to optimize acquisition efficiency. You will also partner with the Marketing team on channel optimization, budget allocation, and campaign measurement. A degree in a quantitative field and 4+ years of Data Science experience with Python and SQL are required. Experience in digital marketing or finance is preferred.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We are looking for a Senior Data Scientist to own value-based bidding (VBB) across our digital marketing channels. This is a rare role that sits at the intersection of machine learning and paid media, where your models will be directly making the decisions that drive the digital marketing spend day-to-day.
Here's the problem you'll own: platforms like Google Ads and Meta will optimize toward whatever signal we give them. Optimize toward clicks or raw conversions, and we acquire the wrong customers efficiently. The alternative is to predict what each prospective customer is actually worth to us over their full lifetime, and feed that value signal back to the platforms 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 our ad platform partners, is the core of this job.
You'll sit within our Marketing team at the center of our digital acquisition strategy, while working as part of Enova's broader data science community. You will collaborate especially closely with our 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.
You don't need a marketing background to succeed here. If you're a strong data scientist who wants to see your models directly move spend, volume, and profitability every day, we can teach you the domain.
Key responsibilities:
Requirements:
Preferred (but not required — we'll teach you):
Compensation:
The budgeted annual salary range for this position is $96,000 to $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.
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