Sr. Data Science Analyst
About The Position
The Senior Data Science Analyst is a hands-on technical contributor who builds predictive models, advanced analytics solutions, and production-ready data products to help Sally Beauty Holdings understand and activate customer behavior. The role combines data science, machine learning, statistical analysis, and data engineering to support customer acquisition, retention, engagement, and lifetime value initiatives. Working across advanced analytics and commercial strategy, the analyst partners with Customer Analytics, CRM, Marketing, Merchandising, and Data Engineering teams to develop scalable models and insights supporting personalized customer experiences. The role owns the end-to-end lifecycle of data science initiatives, from problem definition and feature engineering through model development, validation, deployment, monitoring, and optimization. This is a hybrid position based at the Legacy West Support Center in Plano, Texas, with required onsite days. The work is primarily sedentary in a corporate office environment, with occasional walking, standing, bending, and lifting or carrying light office equipment and materials.
Requirements
- At least 4 years of experience in data science, machine learning, customer analytics, or advanced analytics roles.
- Advanced proficiency in Python, including pandas, NumPy, scikit-learn, and related data science libraries.
- Advanced proficiency in SQL for data extraction, transformation, and analysis.
- Experience with Databricks, Spark/PySpark, Delta Lake, and cloud-based analytics environments.
- Strong understanding of machine learning techniques, including regression, classification, clustering, tree-based models, boosting algorithms, survival analysis, recommender systems, and dimensionality reduction.
- Solid foundation in statistics, experimental design, hypothesis testing, confidence intervals, cross-validation, probability, and predictive modeling.
- Experience deploying, monitoring, and maintaining production machine learning solutions using MLflow or similar frameworks.
- Knowledge of software development best practices, including Git, code reviews, testing methodologies, and CI/CD processes.
- Strong proficiency in Microsoft Excel and PowerPoint, with the ability to communicate analytical findings through executive-ready presentations.
- Ability to manage multiple priorities and deliver high-quality analytical solutions in a fast-paced environment.
- Exceptional analytical thinking, problem-solving, and business acumen.
Nice To Haves
- Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Physics, Analytics, or a related quantitative field preferred.
- Experience in retail, ecommerce, consumer packaged goods, loyalty, subscription, or other customer-focused industries preferred.
- Experience with cloud-based analytics environments, preferably Microsoft Azure.
Responsibilities
- Develop, validate, deploy, and monitor machine learning models for customer acquisition, retention, churn reduction, customer lifetime value, segmentation, propensity scoring, and next-best-action recommendations.
- Design and implement customer segmentation strategies using behavioral, transactional, demographic, and value-based data.
- Apply statistical and machine learning methods, 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.
- Develop customer-focused analytics and predictive assets to support CRM campaigns, loyalty initiatives, and customer lifecycle management.
- Build and maintain scalable customer data pipelines and customer 360 solutions in Databricks using Python, PySpark, and SQL.
- Convert analytical prototypes into production-ready solutions that are scalable, reliable, maintainable, and impactful to the business.
- 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.
- Design, execute, and analyze A/B tests and multivariate experiments across email, SMS, push notifications, and mobile applications.
- Develop statistically valid test and control audiences to measure campaign effectiveness and incremental business impact.
- Partner with CRM and Marketing teams to optimize onboarding, growth, retention, and reactivation customer journeys.
- Translate complex analytical findings into clear business recommendations for technical and non-technical stakeholders.
- Present insights, forecasts, and recommendations to senior leadership and cross-functional partners.
- Support ad hoc analyses, strategic initiatives, and special projects advancing customer and business objectives.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Paid vacation and sick days
- Paid holidays
- Tuition reimbursement
- 401(k) with company match
- Complimentary services at the in-house salon
- Food options at the corporate campus
- Merchandise discount at the onsite Sally Beauty and CosmoProf Professional stores
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What This Job Offers
Job Type
Full-time
Career Level
Senior
