This role will partner closely with external data vendors and media partners, lead geo-experimentation
design and measurement, and develop propensity and optimization models that guide media investment
decisions. We value continuous learning, rigorous causal thinking, and the ability to translate complex
analysis into clear, actionable recommendations for marketing leaders.
- Marketing Mix Modeling: Serve as the internal analytical counterpart to our Marketing Mix
Modeling vendor, reviewing quarterly model refreshes for accuracy, geographic granularity,
variable specification, and channel decay assumptions, and reconciling MMM outputs against
internal experimental results. Build MMM in-house to measure the return on investment (ROI)
across different advertising channels. Translate MMM and incrementality outputs into
media/channel budget allocation recommendations, working with internal stakeholders to connect
model output to planning cycles - Experimentation & Measurement: Design and analyze geo-experiments, media heavy-up/heavy-down designs, and matched-market or synthetic control tests across channels,
including market selection, statistical power/MDE calculations, and exclusion protocols for
confounding risk e.g., seasonal exposure, outlet share, promotions, etc. - Build Optimization Frameworks: Design randomized holdout structures to measure incremental
value of Email/SMS programs, and develop send-time, frequency, and content optimization
models in partnership with other marketing entities - Develop Propensity & Customer Models: Build propensity-to-purchase, churn, and channel-response models using transactional, loyalty, and behavioral data to support targeting,
personalization, and customer segmentation - Analyze Trends & Validate Data: Interpret customer and media performance data for actionable
patterns, assess new data sources for improving model(s) accuracy, and maintain rigorous data
validation standards - Collaborate for Implementation: Partner with internal teams in advanced analytics work to
operationalize models and ensure measurement infrastructure scales
- Experience: 3–5 years in data science, marketing analytics, or applied statistics, ideally with
direct exposure to marketing measurement in a retail, or omnichannel environment - Technical Skills: Proficiency in Python and/or R and SQL; hands-on experience with causal
inference methods, Bayesian modeling, experimental design and power analysis, and marketing
mix modeling concepts. Familiarity with Excel, cloud data warehouses and BI/visualization tools
(Tableau, Looker, GCP, CDP) - Dynamic Environment: Comfort working in a research-oriented group with multiple concurrent
projects - Communicate for Impact: Ability to translate statistical and modeling work into clear, decisionready recommendations for non-technical executive stakeholders
- Educational Background: Bachelor's degree in statistics, information systems, data science,
applied mathematics, economics, computer science, or related discipline; Master's degree
preferred
- Competitive pay
- Unrivaled company culture
- Medical, dental and vision plans
- Exclusive discounts and perks, including an AutoZone in-store discount
- 401(k) with company match and Stock Purchase Plan
- AutoZoners Living Well Program for free mental health support
- Opportunities for career growth
- Paid time off
- Life, and short- and long-term disability insurance options
- Health Savings and Flexible Spending Accounts with wellness rewards
- Tuition reimbursement
Skills Required
- 3-5 years in data science, marketing analytics, or applied statistics
- Proficiency in Python and/or R and SQL
- Hands-on experience with causal inference methods and experimental design (power/MDE calculations)
- Experience with Bayesian modeling and marketing mix modeling concepts; ability to build/review MMM
- Experience designing and analyzing geo-experiments, matched-market or synthetic control tests
- Familiarity with Excel, cloud data warehouses, and BI/visualization tools (Tableau, Looker)
- Familiarity with GCP and Customer Data Platforms (CDP)
- Bachelor's degree in statistics, information systems, data science, applied mathematics, economics, computer science, or related field
- Master's degree in relevant field
- Ability to translate complex analysis into clear, decision-ready recommendations for non-technical stakeholders
AutoZone Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AutoZone and has not been reviewed or approved by AutoZone.
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Retirement Support — A 401(k) savings plan is offered, with employer matching contributions made per pay period noted in company materials. This creates a structured long‑term savings path for eligible employees.
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Equity Value & Accessibility — An employee stock purchase plan enables buying company stock at a discounted price. This provides an additional wealth‑building avenue beyond base wages.
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Healthcare Strength — Core medical, dental, vision, prescription, life, disability, and EAP coverage are available as part of standard packages. These offerings establish a comprehensive baseline of health and protection benefits for eligible employees.
AutoZone Insights
What We Do
AutoZone is the nation's leading retailer and a leading distributor of automotive replacement parts and accessories with more than 7,000 stores in the US, Mexico, Brazil and Puerto Rico. Each store carries an extensive line for cars, sport utility vehicles, vans and light trucks, including new and remanufactured hard parts, maintenance items and accessories. AutoZone, headquartered in Memphis, TN, is a growing Fortune 300 company with a deep commitment to serving our customers, communities and fellow AutoZoners. We have vast opportunities in our stores, distribution centers, field offices, specialty business units and Store Support Center and embrace diverse experiences, backgrounds, knowledge and ideas to strengthen our teams and business. Our team is connected by a deep commitment to our Pledge and Values, principles established more than thirty years ago that reinforce our priorities and team culture. In addition, we constantly innovate and aspire to best serve our customers, creating new and better tools, training and outreach to serve both DIY and the professional installer customers. From in-store tools to E-Commerce, training and development to recognition, our team has the tools to help you grow your career at AutoZone. See where your drive can take you!
