Senior Data Scientist – Loyalty

## Senior Data Scientist – Loyalty Apply:
Atlanta, GA:
Full time:
Posted Today:
R051311
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* Purpose:

** The Senior Data Scientist position is responsible for building and maintaining the models and measurement frameworks that support Floor & Decor's PRO loyalty program, including member behavior across the program lifecycle, reward redemption and breakage, response to program mechanics, and customer lifetime value. Working cross-functionally with Loyalty/CX, PRO, Marketing/CRM, FP&A, and IT, this role delivers the analysis and models that inform program design decisions, identify at-risk members, and drive incremental improvement across the customer journey.
** Minimum Eligibility Requirements:
*** Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field (Master's degree a plus); relevant experience can be substituted for the required education on the basis of one calendar year of experience for one academic year of education.
* 5+ years of relevant experience in data science, applied statistics, or advanced analytics required, or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company.
* Strong proficiency in SQL.
* Experience with at least one statistical/analytical programming language (Python and/or R).
* Experience with AI-assisted analysis tools (e.g., Claude, Codex) to accelerate data exploration, modeling, and reporting
* Demonstrated ability to persuade business leaders through compelling data visualizations.
* Experience with statistical inference and regression including predictive modeling, feature selection, and feature extraction.
* Loyalty or subscription/membership experience as well as CRM and lifecycle marketing analytics experience strongly preferred.
* Fluency with program economics: earn/burn mechanics, breakage, margin impact.
* Experience with churn & retention modeling, including experience identifying the reasons for churn and critical rescue points.
* Experience with customer lifetime value & propensity modeling.
* Experience designing, executing, and analyzing A/B tests and other experiments; familiarity with causal inference methodology a plus.
* Demonstrated ability to translate data into strategic business outcomes, with a structured and data-driven approach to business problem solving.
* Must be highly analytical, enjoy working directly with data, and be able to provide data-driven rationale for new projects, initiatives, and marketing strategies.
* Strong communication skills, with the ability to present technical findings to both technical and non-technical audiences.
* Must be able to work independently as well as cross-functionally with multiple teams, from analysis design through execution to measurement of results.
* Must be organized, detail-oriented, and possess strong problem-solving skills.
* Ability to multi-task and work in a fast-paced environment.
* Personal integrity, humility, and an appreciation for the power of true teamwork.
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* Essential Job Functions:

*** Model member behavior across the program lifecycle: enrollment, activation, engagement depth, tier progression and demotion risk. Maintain the program health view used by Loyalty, PRO, and Marketing leadership.
* Model reward redemption and breakage behavior by cohort, tier, and reward type; partner with FP&A on program financial planning, to supply the behavioral inputs underlying those forecasts.
* Quantify and predict how members respond to program mechanics, e.g. earn rates, tier thresholds, reward structures, to inform design decisions before launch and measure behavior change after.
* Define test/incrementality measurement of program optimizations and tests.
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