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.
Store Support Center, Atlanta - 9090
Actively hiring, first seen by us 11 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Must be legally permitted to work in the United States
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
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.
This position reports to the Manager This position has 0 direct reports Travel Requirements:Read the full posting
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.
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:
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
59 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
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Store Support Center, Atlanta - 9090
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