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Data Scientist, Pricing (Forecasting & Deep Learning)

Georgia - Virtual - GA01

Live, first seen by us 77 days ago
Pay
$90,000–160,000/yearAnnual period assumed — pay source
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $90,000.00 - $160,000.00
Read the full posting
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
  • Design and develop algorithms and models on large datasets for business insights

  • Serve as technical lead on large analytics project teams and lead small projects

  • Present insights and recommendations to technical and non-technical leaders

  • Build and maintain a documented library of reusable algorithms

From the employer’s posting
Design and develop algorithms and models to use against large datasets to create business insights
Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development
Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
People management
No direct reports stated — people management source
This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements:
Read the full posting

What you’ll bring

All qualifications

Preferred experience

  • 3+ years of experience in business intelligence and analytics
  • Proficient in Python and SQL
  • Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
  • Demonstrated proficiency in predictive modelling, data mining, and data analysis
Qualification wording
3+ years of experience in business intelligence and analytics
Proficient in Python and SQL
Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
Demonstrated proficiency in predictive modelling, data mining, and data analysis
Education & alternatives
- 3+ years of experience in business intelligence and analytics - PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc) - Proficient in Python and SQL
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:
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Posting record

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Status in our records
Live
First seen by us
Aug 19, 202677 days ago
Recorded sightings
199
Last seen by us
Nov 4, 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

In line with similar jobs

$90K–$160K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 77

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Home Depot is hiring

58 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
  • 5% of open jobs were reposted
Hiring record

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  • Python
  • SQL
Where the posting names them
- PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc) - Proficient in Python and SQL - Mastery utilizing statistical techniques to identify key insights that help solve business problems

Your next step

Complete your application on homedepot.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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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.

The Home Depot is able to offer virtual employment of this position in the following states:

AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY

Position Purpose:

The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.

As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.


Key Responsibilities:

  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented


Direct Manager/Direct Reports:

  • This position typically reports to Manager or above
  • This position has 0 Direct Reports


Travel Requirements:

  • Typically requires overnight travel less than 10% of the time.


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


Preferred Qualifications:

  • Past experience developing forecasting solutions and Deep Learning solutions in a professional environment

  • 3+ years of experience in business intelligence and analytics

  • PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)

  • Proficient in Python and SQL

  • Mastery utilizing statistical techniques to identify key insights that help solve business problems

  • Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation

  • Demonstrated proficiency in predictive modelling, data mining, and data analysis


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:

  • No additional education


Minimum Years of Work Experience:

  • 3


Preferred Years of Work Experience:

  • No additional years of experience


Minimum Leadership Experience:

  • None


Preferred Leadership Experience:

  • None


Certifications:

  • None


Competencies:

  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus.  For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
 

The pay range for this position is between $90,000.00 - $160,000.00
Source details

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Pay
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $90,000.00 - $160,000.00
Location & working pattern

Georgia - Virtual - GA01

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

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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