{"id":1457849,"url":"https://alion.io/job/floor-decor-senior-data-scientist-loyalty","title":"Senior Data Scientist – Loyalty","company":{"id":1827622,"name":"Floor & Decor","domain":"flooranddecor.com","url":"https://alion.io/company/flooranddecor","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":160,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Claude","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-16T02:06:46Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Purpose:\nThe 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.\nMinimum Eligibility Requirements:\nBachelor'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.\n5+ 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.\nStrong proficiency in SQL.\nExperience with at least one statistical/analytical programming language (Python and/or R).\nExperience with AI-assisted analysis tools (e.g., Claude, Codex) to accelerate data exploration, modeling, and reporting\nDemonstrated ability to persuade business leaders through compelling data visualizations.\nExperience with statistical inference and regression including predictive modeling, feature selection, and feature extraction.\nLoyalty or subscription/membership experience as well as CRM and lifecycle marketing analytics experience strongly preferred.\nFluency with program economics: earn/burn mechanics, breakage, margin impact.\nExperience with churn & retention modeling, including experience identifying the reasons for churn and critical rescue points.\nExperience with customer lifetime value & propensity modeling.\nExperience designing, executing, and analyzing A/B tests and other experiments; familiarity with causal inference methodology a plus.\nDemonstrated ability to translate data into strategic business outcomes, with a structured and data-driven approach to business problem solving.\nMust be highly analytical, enjoy working directly with data, and be able to provide data-driven rationale for new projects, initiatives, and marketing strategies.\nStrong communication skills, with the ability to present technical findings to both technical and non-technical audiences.\nMust be able to work independently as well as cross-functionally with multiple teams, from analysis design through execution to measurement of results.\nMust be organized, detail-oriented, and possess strong problem-solving skills.\nAbility to multi-task and work in a fast-paced environment.\nPersonal integrity, humility, and an appreciation for the power of true teamwork.\nEssential Job Functions:\nModel 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.\nModel 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.\nQuantify 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.\nDefine test/incrementality measurement of program optimizations and tests.\nCustomer Lifetime Value modeling: a single org-wide definition maintained as the shared input to loyalty, marketing investment, and financial planning.\nBuild and maintain PRO retention and churn models that identify at-risk customers and members early enough to act, including the drivers of churn and the points where intervention is still possible.\nDesign and evolve customer segmentation frameworks using behavioral, transactional, and demographic data to support targeted marketing and personalization.\nDevelop share-of-wallet and growth-potential models to estimate spend headroom and identify high-value PRO accounts; partner with PRO leadership to translate model output into targeting strategy. Standard PRO reporting and list generation is owned by Customer Analytics & Insights.\nDevelop propensity models - purchase, churn, engagement, enrollment - that produce scored customer files consumable by marketing, PRO, ML Ops, and store teams.\nPartner with IT and Data Engineering to close gaps across internal data technology stack and third-party sources.\nPartner cross-functionally with Marketing/CRM, IT, PRO, Finance, and Loyalty stakeholders to translate analytical findings into clear, actionable business recommendations.\nPresent findings and recommendations to business stakeholders and leadership in a clear, actionable way, tailored to the audience.\nMaintain clear documentation of methodologies, model assumptions, and limitations to ensure reproducibility and continuity.\nStay abreast of industry trends and best practices in customer analytics, loyalty measurement, and applied data science.\nBe compliant with all appropriate Privacy Preferences and Security protocols.\nW orking Conditions (travel & environment)\nTravel may be required including air and car travel\nThe noise level in the work environment is typically quiet to moderate.\nPHYSICAL/SENSORY REQUIREMENTS\nSedentary Work: Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.\nNote: Floor & Decor considers all applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, medical condition, pregnancy, marital or familial status, veteran status, or based on any other class protected by applicable federal, state, or local law. Floor & Decor also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.\nThis job description does not constitute an employment agreement between the employer and the employee and is subject to change by the employer at its sole discretion.\nBenefits & Rewards\nBonus opportunities & career advancement opportunities at every level\nPrograms that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program\nMedical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)\nWork-life balance, including:\nPaid vacation and sick time for eligible associates\n\nPaid holidays plus a personal holiday\n\nPaid Volunteer Time Off that starts on Day 1\n\n Equal Employment Opportunity\nFloor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.\nThis policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.","description_format":"text","description_chars":7780,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Kitchens, Bathrooms & Home Improvement"],"lifecycle":[{"event":"open","at":"2026-09-29T10:54:33Z"},{"event":"close","at":"2026-10-03T04:23:38Z"},{"event":"reopen","at":"2026-10-03T15:47:21Z"},{"event":"close","at":"2026-10-03T21:25:30Z"},{"event":"reopen","at":"2026-10-04T03:00:38Z"},{"event":"close","at":"2026-10-05T15:51:46Z"},{"event":"reopen","at":"2026-10-06T04:14:57Z"},{"event":"close","at":"2026-10-09T06:54:32Z"},{"event":"reopen","at":"2026-10-09T10:55:12Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.845,"p_room":0.9,"age_days":22,"expected_fill_days":48,"reasons":["conf:0","velocity","win:mid","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/floor-decor-senior-data-scientist-loyalty","json_url":"https://alion.io/job/floor-decor-senior-data-scientist-loyalty.json","meta":{"generated_at":"2026-10-16T03:49:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":364,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1827622},"rest":"https://alion.io/mcp/rest/get_company?id=1827622"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffloor-decor-senior-data-scientist-loyalty"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffloor-decor-senior-data-scientist-loyalty"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffloor-decor-senior-data-scientist-loyalty"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/floor-decor-senior-data-scientist-loyalty\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffloor-decor-senior-data-scientist-loyalty"}]}