{"id":2859331,"url":"https://alion.io/job/carmax-senior-analyst-search-and-recommendations","title":"Senior Analyst, Search and Recommendations","company":{"id":1759292,"name":"CarMax","domain":"carmax.com","url":"https://alion.io/company/carmax-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":87,"ghost_share":0,"stale_share":0.713,"repost_share":0.011,"time_to_fill_p50_days":22,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":88400,"max":132600,"currency":"USD","period":"year","gross":null,"usd_annual":132600},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Looker","optional":false},{"name":"Matplotlib","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-22T00:00:00Z","employer_posted_date":"2026-08-22","last_verified_at":"2026-11-04T21:36:58Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220CarMax, the way your career should be!\nAbout The Team\nThe Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.\nAbout The Role\nUnderstanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to work with. In this role you will develop deep expertise about our business through data: via ad-hoc analysis, supporting ML model development and management, and especially through the design and execution of rigorous statistical tests that help us understand what's actually working and what’s not. You'll be embedded with data scientists and ML engineers, which means you'll see how models are built, not just how they perform. You'll help shape what we test, how we measure success, and what we learn. If you love data, get excited about the mechanics of search and recommendations, and want to see your analysis directly influence product decisions, this role is for you.\n What You Will Do - Essential Responsibilities\nAnalyze large-scale behavioral data (search queries, click-through rates, purchase patterns, inventory turnover) to surface insights about customer preferences and system performance\n\nDesign, execute, and interpret statistical tests (A/B tests, holdout experiments, pre/post analyses) to measure the impact of algorithm changes and new features\n\nPartner with data scientists on model development, validation, and ongoing monitoring - acting as a bridge between model performance metrics and business outcomes\n\nTranslate complex findings into clear narratives for technical and non-technical stakeholders alike\n\nDevelop and maintain dashboards and reporting that help the team and partners track key metrics over time\n\nPartner closely with cross functional teams in Product, Strategy, Technology, and Operations\n\nQualifications and Requirements\n3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment\n\nStrong SQL skills and experience with Python (e.g. pandas, matplotlib) for data manipulation and analysis\n\nSolid foundation in statistics, including hypothesis testing, confidence intervals, and experimental design - you should be comfortable explaining why a test result is or isn't significant\n\nExperience working with large datasets using tools like Spark, Databricks, or similar is preferred\n\nAbility to build and maintain reports in BI tools (Tableau, PowerBI, Looker, etc.), or interest in learning\n\nClear communication skills - you can explain a complex analysis to a product manager or executive without losing them\n\nGenuine enthusiasm for how search and recommendation systems work, even if you haven't built them yourself\n\nBachelor's degree in a quantitative field (statistics, economics, math, engineering, or similar)\n\nWork Location and Arrangement\nThis role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 days per week.\nWork Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.\nThe annual salary for this position is:\n$88,400.00 - $132,600.00May be eligible for bonus and equity.\nBenefits:\nExcept as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.\nAssociates that are considered full-time hourly or commission/incentive eligible:\nTo earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company. \nFor 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay. \nAssociates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.\nFor more details about benefits, please visit our CarMax Benefits website.\nUpon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.","description_format":"text","description_chars":4931,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[{"name":"Central African Republic","iso":"CF"}],"relocation_offered":false,"industries":["Leasing, Auto & Equipment Finance","Car Dealerships"],"lifecycle":[{"event":"open","at":"2026-10-19T15:47:58Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.434,"p_room":0.28,"age_days":74,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":132600,"is_top_pay":true},"html_url":"https://alion.io/job/carmax-senior-analyst-search-and-recommendations","json_url":"https://alion.io/job/carmax-senior-analyst-search-and-recommendations.json","meta":{"generated_at":"2026-11-05T01:40:22Z","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":2168,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":1759292},"rest":"https://alion.io/mcp/rest/get_company?id=1759292"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcarmax-senior-analyst-search-and-recommendations"},{"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%2Fcarmax-senior-analyst-search-and-recommendations"},{"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%2Fcarmax-senior-analyst-search-and-recommendations"},{"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/carmax-senior-analyst-search-and-recommendations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcarmax-senior-analyst-search-and-recommendations"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2859331}},{"tool":"search_jobs","arguments":{"company":"carmax.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2859331},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}