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2 дня назад

Senior Marketing Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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