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Senior Analyst, Marketing Science

Store Support Center, Atlanta - 9090

Actively hiring, first seen by us 11 days ago
Pay
Pay not listedSimilar roles state $118K–$195K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USMust be legally permitted to work in the United States

What you’ll work on

Full posting
  • Build dashboards, reports and ad-hoc analyses from large datasets in BigQuery, SQL, Python and Tableau

  • Design rigorous incrementality tests and calibrate modeled outputs against experiment results

  • Audit Marketing Mix Model mechanics and assumptions with leadership and measurement partners

  • Cleanse, validate and test new data sources with other decision analysts

  • Deliver analytics solutions with stakeholders, developers and business analysts

From the employer’s posting
Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests
design rigorous tests, ensure data pipeline integrity, and calibrate modeled outputs with empirical, ground-truth experiment results
evaluate model mechanics, audit underlying assumptions, and actively partner with direct leadership to evolve our enterprise modeling capabilities
Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
People management
No direct reports stated — people management source
This position reports to the Manager This position has 0 direct reports Travel Requirements:
Read the full posting

What you’ll bring

All qualifications

Preferred experience

  • Master's degree in a quantitative field (Statistics, Econometrics, Analytics, Computer Science, etc.) or equivalent relevant work experience.
  • 5+ years of experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
  • Expertise in experimental design and causal inference (e.g., geo-lift, matched-market tests, synthetic controls, holdouts) with hands-on experience executing marketing experiments.
  • Strong understanding of Marketing Mix Modeling (MMM) mechanics, with experience calibrating econometric models using empirical test results.
Qualification wording
Master's degree in a quantitative field (Statistics, Econometrics, Analytics, Computer Science, etc.) or equivalent relevant work experience.
5+ years of experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
Expertise in experimental design and causal inference (e.g., geo-lift, matched-market tests, synthetic controls, holdouts) with hands-on experience executing marketing experiments.
Strong understanding of Marketing Mix Modeling (MMM) mechanics, with experience calibrating econometric models using empirical test results.
Education & alternatives
Preferred Qualifications: - Master's degree in a quantitative field (Statistics, Econometrics, Analytics, Computer Science, etc.) or equivalent relevant work experience. - 5+ years of experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
Preferred Education: - The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience:
Apply at Home Depot

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 202611 days ago
Recorded sightings
11
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$195K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 11

Similar jobs usually come down between day 8 and day 60.

At Home Depot, jobs usually come down by about day 50.

From 11,854 similar postings that came down, and 145 of Home Depot’s. Coming down is not always a hire.

Home Depot is hiring

59 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SAS
  • SQL
  • BigQuery
  • GCP
  • Tableau
Where the posting names them
The Senior Analyst, Marketing Science is a key analytical driver guiding how The Home Depot evaluates, optimizes, and allocates its marketing investments. In this role, you will steer the ongoing advancement and operational execution of our enterprise measurement ecosystem—anchored by enterprise Marketing Mix Modeling (MMM) and comprehensive incrementality experimentation. Serving as the analytical connective tissue between internal leadership, media buying agencies, platform teams, and specialized measurement partners, you will design rigorous tests, ensure data pipeline integrity, and calibrate modeled outputs with empirical, ground-truth experiment results. Success in this position requires a practitioner’s understanding of econometric principles, Bayesian statistics, and causal inference to evaluate model mechanics, audit underlying assumptions, and actively partner with direct leadership to evolve our enterprise modeling capabilities. The ideal candidate pairs deep technical comfort with data manipulation (SQL, Python/R) and hands-on experience designing and running marketing experiments, with broad media landscape fluency and cross-functional partner management skills, turning complex econometric and experimental findings into clear, high-impact investment strategies. Key Responsibilities:
Key Responsibilities: - 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau. - 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
- Strong understanding of Marketing Mix Modeling (MMM) mechanics, with experience calibrating econometric models using empirical test results. - Proficiency coding in SQL, Python/ R, and utilization of Vertex AI, and AutoML. - Experience with web analytics and testing tools (e.g., Adobe Analytics, Adobe Target) and data visualization tools (Tableau).
- Proficiency coding in SQL, Python/ R, and utilization of Vertex AI, and AutoML. - Experience with web analytics and testing tools (e.g., Adobe Analytics, Adobe Target) and data visualization tools (Tableau). - Demonstrated ability to partner with cross-functional teams to build KPI frameworks, identify core insights, and solve complex business problems.

Your next step

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About Home Depot

People
About 472,400 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as HD.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:


The Senior Analyst, Marketing Science is a key analytical driver guiding how The Home Depot evaluates, optimizes, and allocates its marketing investments. In this role, you will steer the ongoing advancement and operational execution of our enterprise measurement ecosystem—anchored by enterprise Marketing Mix Modeling (MMM) and comprehensive incrementality experimentation. Serving as the analytical connective tissue between internal leadership, media buying agencies, platform teams, and specialized measurement partners, you will design rigorous tests, ensure data pipeline integrity, and calibrate modeled outputs with empirical, ground-truth experiment results.

 

Success in this position requires a practitioner’s understanding of econometric principles, Bayesian statistics, and causal inference to evaluate model mechanics, audit underlying assumptions, and actively partner with direct leadership to evolve our enterprise modeling capabilities. The ideal candidate pairs deep technical comfort with data manipulation (SQL, Python/R) and hands-on experience designing and running marketing experiments, with broad media landscape fluency and cross-functional partner management skills, turning complex econometric and experimental findings into clear, high-impact investment strategies.


Key Responsibilities:

  • 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
  • 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
  • 5% - Project Management & Support - Supports end users, solve problems and troubleshoots numerous issues.
  • 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
  • 5% - Technical Exploration & Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.


Direct Manager/Direct Reports:

  • This position reports to the Manager
  • This position has 0 direct reports


Travel Requirements:

  • No travel required.


Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.


Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:

  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.


Preferred Qualifications:

  • Master's degree in a quantitative field (Statistics, Econometrics, Analytics, Computer Science, etc.) or equivalent relevant work experience.
  • 5+ years of experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
  • Expertise in experimental design and causal inference (e.g., geo-lift, matched-market tests, synthetic controls, holdouts) with hands-on experience executing marketing experiments.
  • Strong understanding of Marketing Mix Modeling (MMM) mechanics, with experience calibrating econometric models using empirical test results.
  • Proficiency coding in SQL, Python/ R, and utilization of Vertex AI, and AutoML.
  • Experience with web analytics and testing tools (e.g., Adobe Analytics, Adobe Target) and data visualization tools (Tableau).
  • Demonstrated ability to partner with cross-functional teams to build KPI frameworks, identify core insights, and solve complex business problems.
  • Proven track record of managing multiple projects in a fast-paced environment while coordinating deliverables across media agencies, platform teams, and measurement partners.
  • Strong critical thinking skills to evaluate the strengths and weaknesses of alternative solutions and foresee the broader implications for strategic decision-making.
  • Strong interpersonal and communication skills, with the ability to actively collaborate, influence stakeholders, and explain complex technical concepts in an easily understood way.
  • Demonstrated agility to quickly learn and adapt to new technologies, analytical tools, and measurement techniques. environment.

Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.


Preferred Education:

  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.


Minimum Years of Work Experience:

  • 5


Preferred Years of Work Experience:

  • 6


Competencies:

  • Action Oriented
  • Collaborates
  • Drives Engagement
  • Communicates Effectively
  • Customer Focus
  • Drives Results
  • Manages Conflict
Source details

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Pay

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Location & working pattern

Store Support Center, Atlanta - 9090

Working pattern and location restrictions need checking in the full posting.

Work authorization

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