2 дня назад
Senior Marketing Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Marketing Data Scientist (AI): Building and managing predictive marketing models for propensity, cross-sell, up-sell, churn, and attribution analytics with an accent on statistical modeling, machine learning, and marketing data management. Focus on establishing MLOps lifecycle governance, validating and recalibrating models, and communicating data-driven recommendations to cross-functional decision-makers.
Location: West Des Moines, Iowa, United States
Company
Financial services company providing products for customers and financial professionals.
What you will do
- Deliver the complete lifecycle of marketing analytics and modeling projects, including model development, validation, and recalibration.
- Manage and enhance internal and external data sources for analysis and predictive modeling.
- Build and maintain propensity-to-sell, cross-sell, up-sell, churn prediction, and marketing attribution models.
- Establish MLOps practices for model training, versioning, governance, monitoring, and lifecycle management.
- Improve analytics workflows and responsibly adopt new technologies and generative AI tools.
- Communicate data-driven insights and recommendations to non-technical audiences and cross-functional decision-makers.
Requirements
- At least 5 years of experience building statistical analyses and predictive models.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative field; an advanced degree is preferred.
- Strong proficiency in Python and/or R and advanced SQL skills for large, complex datasets.
- Experience building and validating supervised and unsupervised models, including regression, classification, and clustering.
- Experience with Tableau or Power BI and familiarity with cloud-based data environments.
- AWS experience is preferred, including S3, Athena, and SageMaker.
Culture & Benefits
- Inclusive and dynamic work environment.
- Military Friendly Employer.
- Equal opportunity employment commitment.
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