1

Home Depot Data Scientist Jobs (NOW HIRING)

National Account Manager (Home Depot)

Pewaukee, WI · On-site

$94K - $122K/yr

Influence decision-making through data, insights, and category expertise Merchandising & Category Management * Partner with The Home Depot to optimize: product assortment and lifecycle management ...

National Account Manager (Home Depot)

Atlanta, GA · On-site

$93K - $120K/yr

Influence decision-making through data, insights, and category expertise Merchandising & Category Management * Partner with The Home Depot to optimize: product assortment and lifecycle management ...

National Account Manager The Home Depot

Midland, MI · Remote

$83K - $107K/yr

The National Account Manager, The Home Depot is responsible for managing and growing DuPont's Home ... Analyzes point-of-sale, inventory, market, promotional, and competitive data to identify risks ...

National Account Manager The Home Depot

Delaware, OH · Remote

$92K - $118K/yr

The National Account Manager, The Home Depot is responsible for managing and growing DuPont's Home ... Analyzes point-of-sale, inventory, market, promotional, and competitive data to identify risks ...

Online Data Architect

Atlanta, GA · On-site

$60.50 - $78/hr

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or ...

Data Scientist

Charleston, SC · On-site

$110 - $160/hr

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Actively seek out new business opportunities to leverage data science as a competitive advantage ...

Showing results 21-40

Home Depot Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do home depot data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for home depot data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data scientist do at Home Depot?

A Data Scientist at Home Depot analyzes large datasets to uncover insights that improve business operations, customer experiences, and decision-making. They use statistical techniques, machine learning, and data visualization to solve problems like optimizing inventory, personalizing marketing, and forecasting demand. Data Scientists often collaborate with other departments to implement their findings and drive data-driven strategies throughout the company.

How does a data scientist at Home Depot typically collaborate with cross-functional teams to drive business insights?

As a Data Scientist at Home Depot, you will frequently collaborate with cross-functional teams such as business analysts, product managers, engineers, and marketing specialists. This collaboration involves translating business objectives into data-driven solutions, presenting findings to both technical and non-technical stakeholders, and participating in agile project cycles. Regular meetings and brainstorming sessions are common, where data scientists provide actionable insights that influence product development, merchandising strategies, and customer experience enhancements. Strong communication skills and the ability to explain complex analyses in a clear, practical manner are crucial for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Home Depot data scientist, and why are they important?

To thrive as a Home Depot Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, big data platforms (like Hadoop or Spark), and visualization tools like Tableau is commonly required. Strong problem-solving abilities, business acumen, and effective communication skills help translate complex data insights into actionable business strategies. These skills and qualities are vital to drive data-informed decisions that improve operations, customer experiences, and business outcomes for Home Depot.

What is the difference between Home Depot Data Scientist vs Home Depot Business Analyst?

AspectHome Depot Data ScientistHome Depot Business Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fieldBachelor's in Business, Economics, or related field
Work EnvironmentData-driven teams, analytics departmentsOperations, sales, and marketing teams
Employer & Industry UsageRetail, home improvement industryRetail, home improvement industry
Common Search & ComparisonFocuses on advanced data modeling and predictive analyticsFocuses on business process analysis and reporting

The Home Depot Data Scientist primarily works with complex data analysis, predictive modeling, and machine learning to inform strategic decisions. In contrast, the Home Depot Business Analyst concentrates on analyzing business processes, generating reports, and supporting operational improvements. Both roles are essential in the retail industry but differ in technical depth and focus areas.

Is a home depot data scientist job still in demand?

Data scientist roles at companies like Home Depot remain in demand due to the increasing reliance on data analytics for business decisions. These positions typically require skills in statistical analysis, machine learning, and data visualization tools, and are expected to grow as companies prioritize data-driven strategies.
More about Home Depot Data Scientist jobs
Infographic showing various Home Depot Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sr. Data Scientist - Marketing Science & Offerings

SupportFinity™

Manhattan, NY • On-site

$90 - $132/hr

Other

Medical, Retirement, PTO

Re-posted yesterday


Job description

Sr. Data Scientist - Marketing Science & Offerings

Ovative Group | Posted Mar 9 | Full-time | New York | Unknown

About Ovative Group

Ovative Group is an independent, full‑funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About The Role

As the Senior Data Scientist, you will play a key role in:

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success.
  • Partnering with driven, solution‑minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems.
  • Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.
  • Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative.
  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
Responsibilities of a Sr. Data Scientist
  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact.
  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models.
  • Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings.
  • Provide mentoring, training, and other opportunities for effective technical development of data scientists.
  • Assist with technical parts of business development as needed, including RFP response, sales and conference presentations using AI assistance where applicable.
  • Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.
Requirements
  • 5+ years of hands‑on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation.
  • Proven success as a technical contributor in high-performing data science teams, preferably within product‑centric or consulting environments.
  • Very Important: Ability to quickly learn and execute.
  • Expertise in advanced statistical modeling and machine learning, with hands‑on experience preferred in techniques such as:
  • Media Mix Modeling (MMM)
  • Incrementality Testing / Causal Inference
  • Attribution Modeling
  • Customer Analytics: Lifetime Value (CLV) Modeling, Segmentation
  • Generative AI Data Science
  • Proficiency in the following preferred programming and data environments:
  • Languages: SQL, and/or R or Python.
  • Tools: Git, Docker, MLOps, POSIT IDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc.
  • Data platforms: BigQuery, Databricks.
  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization is a plus.
  • Experience with Bayesian/Probabilistic modeling frameworks (e.g., PyMC, Stan) is a plus.
  • Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
  • Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
  • Demonstrated leadership and mentorship skills; able to think independently, guide junior team members and influence cross‑functional teams.
  • Bonus: Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).
Pay Transparency

For our Sr. Data Scientist positions, our compensation ranges from $90,000 to $132,000, which is inclusive of a 20% bonus.

Benefits Of Working At Ovative Group

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture

Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We’re rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy
  • Access to all office spaces in MSP, NYC, and CHI.
  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams.
  • Generous paid vacation policy.
  • 401k match program.
  • Top‑notch health insurance options, inclusive of same sex partners.
  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs.
  • Monthly stipend for your mobile phone and data plan.
  • Sabbatical program.
  • Charitable giving via our time and a financial match program.
  • Shenanigan’s Day.

Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!

#J-18808-Ljbffr