Sr. Data Science Analyst

This position is Hybrid working from our Legacy West Support Center located in Plano, Texas.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price.

Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

This position is Hybrid working from our Legacy West Support Center located in Plano, Texas.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price.

Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

The Senior Data Science Analyst is a hands-on technical contributor responsible for building predictive models, advanced analytics solutions, and production-ready data products that help Sally Beauty Holdings better understand and activate customer behavior. This role combines data science, machine learning, statistical analysis, and data engineering to drive customer acquisition, retention, engagement, and lifetime value initiatives.

Working at the intersection of advanced analytics and commercial strategy, the Senior Data Science Analyst partners closely with Customer Analytics, CRM, Marketing, Merchandising, and Data Engineering teams to develop scalable models and insights that support hyper-personalized customer experiences. This role owns the end-to-end lifecycle of data science initiatives, including problem definition, feature engineering, model development, validation, deployment, monitoring, and ongoing optimization.

• Develop, validate, deploy, and monitor machine learning models that support customer acquisition, retention, churn reduction, customer lifetime value (CLV), segmentation, propensity scoring, and next-best-action recommendations.
• Design and implement advanced customer segmentation strategies using behavioral, transactional, demographic, and value-based data.
• Apply statistical and machine learning methodologies including clustering, regression, classification, survival analysis, recommender systems, and market basket analysis to identify business opportunities.
• Conduct exploratory data analysis, feature engineering, model evaluation, and validation to ensure high-quality and statistically sound outcomes.
• Develop customer-focused analytics and predictive assets that support CRM campaigns, loyalty initiatives, and customer lifecycle management strategies.
• Build and maintain scalable customer data pipelines and customer 360 solutions within Databricks using Python, PySpark, and SQL.
• Convert analytical prototypes into production-ready solutions with a focus on scalability, reliability, maintainability, and business impact.
• Implement and maintain MLOps processes including automated model scoring, retraining, performance monitoring, drift detection, and data quality validation.
• Follow software engineering best practices including version control, peer code review, testing, and CI/CD deployment processes.
• Design, execute, and analyze A/B tests and multivariate experiments across digital marketing channels including email, SMS, push notifications, and mobile applications.
• Develop statistically valid test and control audiences to support accurate measurement of campaign effectiveness and incremental business impact.
• Partner with CRM and Marketing teams to optimize customer journeys including onboarding, growth, retention, and reactivation programs.
• Translate complex analytical findings into clear business recommendations for…