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Behavioral Data Science Jobs in Memphis, TN (NOW HIRING)

Identify behavioral root causes of ongoing data issues and establish durable, performance-linked ... Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, Management ...

Data Architect

Memphis, TN · On-site

$120 - $160/hr

Models appropriate behavior as exemplified in MLH Mission, Vision and Values. Working at MLH means ... Education Qualifications Required * - Bachelor's Degree Computer sciences Education Qualifications ...

Data Architect

Memphis, TN

$62 - $79.75/hr

Models appropriate behavior as exemplified in MLH Mission, Vision and Values. Working at MLH means ... Required - Bachelor's Degree Computer sciences * Preferred - Bachelor's Degree Information Systems

... behaviour. * Collaboration and Communication: Collaborate cross-functionally with marketing ... Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ...

... behaviour. * Collaboration and Communication: Collaborate cross-functionally with marketing ... Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ...

Digital Analyst Internships

Memphis, TN · On-site

$87K - $104K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Southaven, MS · On-site

$89K - $106K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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Behavioral Data Science information

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What are the most commonly searched types of Behavioral Data Science jobs in Memphis, TN?

The most popular types of Behavioral Data Science jobs in Memphis, TN are:

What are popular job titles related to Behavioral Data Science jobs in Memphis, TN?

For Behavioral Data Science jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Science jobs in Memphis, TN look for?

The top searched job categories for Behavioral Data Science jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Behavioral Data Science jobs?

Cities near Memphis, TN with the most Behavioral Data Science job openings:

Infographic showing various Behavioral Data Science job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, Marketing Analytics

AutoZone

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


AutoZone rating

5.2

Company rating: 5.2 out of 10

Based on 1,925 frontline employees who took The Breakroom Quiz

35th of 39 rated national retailers


Job description

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.

Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.

Benefits at AutoZone
AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being.

All AutoZoners (Full-Time and Part-Time):
  • 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
Additional Benefits for Full-Time AutoZoners:
  • Paid time off
  • Life, and short- and long-term disability insurance options
  • Health Savings and Flexible Spending Accounts with wellness rewards
  • Tuition reimbursement
Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.

We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.

Online Application:
An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.
  • 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
  • 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
     

What AutoZone employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


AutoZone logo

About AutoZone

Sourced by ZipRecruiter

AutoZone Inc (AutoZone) is a retailer and distributor of automotive replacement parts and accessories. The company provides new and remanufactured automotive hard parts, maintenance items, accessories, and non-automotive products. AutoZone sells automotive diagnostic and repair software through its subsidiary ALLDATA.

Industry

Motor vehicle and motor vehicle parts wholesalers

Company size

10,000+ Employees

Headquarters location

Memphis, TN, US

Year founded

1979