Data Scientist — CLV & Personalization (Hybrid)

Sally Beauty

Plano (AL)

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

Sally Beauty Holdings, Inc. is seeking a hands-on Data Scientist (Corporate) to build models and data products that illuminate customer behavior and drive CRM, retention, and churn strategies.

You will own models end-to-end—from problem framing and feature engineering to training, validation, deployment, and monitoring—ensuring production-grade analytics in a collaborative, fast-paced environment. This role partners with Data Engineering, CRM, Marketing, and Merchandising to mature the

Qualifications

  • Master's degree in a quantitative field required; data science or analytics focus preferred.
  • 4+ years of hands-on experience in data science, applied ML, or customer analytics.
  • Experience in Retail/CPG/e-commerce or loyalty-driven businesses is highly desirable.

Responsibilities

  • Develop predictive models and feature pipelines end-to-end using Python and SQL.
  • Build segmentation and customer analytics to support hyper-personalized marketing.
  • Translate model outputs into business recommendations for non-technical stakeholders.
  • Develop data pipelines and productionize analytics in Databricks for reliability.
  • Collaborate with Data Engineering, CRM, Marketing, and Merchandising to scale insights.

Skills

Python
SQL
Databricks
Spark/PySpark
ML/Modeling
MLOps
Data Visualization
Communication

Education

Master's degree in Data Science, Statistics, or related field

Tools

Git
Azure DevOps
REST APIs
Docker

Job description

Sally Beauty Holdings, Inc. is seeking a hands-on Data Scientist (Corporate) to build models and data products that illuminate customer behavior and drive CRM, retention, and churn strategies.

You will own models end-to-end—from problem framing and feature engineering to training, validation, deployment, and monitoring—ensuring production-grade analytics in a collaborative, fast-paced environment. This role partners with Data Engineering, CRM, Marketing, and Merchandising to mature the

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