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Senior Data Scientist (Marketing)
Enova · Chicago, United States
About The Role
Join Enova, a leading financial technology company, as a Senior Data Scientist in Marketing. In this role, you will own value-based bidding across our digital marketing channels, building and maintaining machine learning models that estimate customer lifetime value. You will collaborate closely with our Pricing & Profitability team and act as a data science partner to the broader Marketing team. This is a hybrid role with in-office work required Tuesday through Thursday and remote flexibility on Mondays and Fridays.
- Construire, valider et maintenir des modèles d'apprentissage automatique qui estiment la valeur à vie du client aux premières étapes de l'entonnoir.
- Concevoir et mettre en œuvre des systèmes automatisés qui transmettent les estimations de valeur aux plateformes publicitaires.
- Agir en tant que partenaire scientifique des données pour l'équipe Marketing plus large sur l'optimisation des canaux.
- 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
- Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis
- Experience working with relational databases, such as SQL
- Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
- Excellent knowledge of applied statistical methods and machine learning models
- 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
- 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
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