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Overnight Data Science Jobs (NOW HIRING)

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

QuantumClean

Data Scientist

Phoenix, AZ

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

Home Depot

Sr. Data Scientist, Pro CX

Atlanta, GA · On-site

Actively seek out new business opportunities to leverage data science as a competitive advantage ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Jostens

Data Scientist

Minneapolis, MN · On-site +1

This role is a member of the Data Science team, which is focused on developing advanced analytic ... Typical/expected % of overnight travel. None to Minimal. YOU HAVE: * Experience. At least 3 years ...

Jostens

Data Scientist

Minneapolis, MN · Hybrid

This role is a member of the Data Science team, which is focused on developing advanced analytic ... Typical/expected % of overnight travel. None to Minimal. YOU HAVE: * Experience. At least 3 years ...

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

... cover overnight and weekend data modeling needs • Document the FAA process, roles, and ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

... cover overnight and weekend data modeling needs * Document the FAA process, roles, and ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field * Doctor ...

Tetra Tech, Inc.

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

... cover overnight and weekend data modeling needs * Document the FAA process, roles, and ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field * Doctor ...

Exact Sciences

Staff AI Scientist

San Diego, CA

Lead "AI evangelism" for biostatistics, bioinformatics and data science at Exact Sciences. * Assist ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Exact Sciences

Staff AI Scientist

San Diego, CA · On-site

Lead "AI evangelism" for biostatistics, bioinformatics and data science at Exact Sciences. * Assist ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Exactsciences

Staff AI Scientist

San Diego, CA · On-site

Lead "AI evangelism" for biostatistics, bioinformatics and data science at Exact Sciences. * Assist ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

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Overnight Data Science information

What is the difference between Overnight Data Science vs Data Analyst?

AspectOvernight Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields
Work EnvironmentTypically in tech companies, finance, or healthcare, often with flexible or night shiftsIn offices, corporate settings, with standard daytime hours
Employer & Industry UsageUsed in industries requiring 24/7 data monitoring and analysisCommon in business, marketing, and finance sectors for routine data reporting

Overnight Data Science focuses on advanced data modeling, machine learning, and complex analysis often during night shifts, while Data Analysts primarily handle data reporting, visualization, and basic analysis during regular hours. Both roles require strong analytical skills but differ in technical depth and work hours.

What cities are hiring for Overnight Data Science jobs? Cities with the most Overnight Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Overnight Data Science jobs? States with the most job openings for Overnight Data Science jobs include:
What job categories do people searching Overnight Data Science jobs look for? The top searched job categories for Overnight Data Science jobs are:
Overnight Data Science jobs near you
Infographic showing various Overnight Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist - People Analytics

Data Scientist - People Analytics

Home Depot

Atlanta, GA • On-site, Remote

Full-time

Posted 20 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,297 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved candidate/associate experiences. This role applies industry-leading analytical methodologies and cutting-edge artificial intelligence for working with large, complex HR datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed code is documented and maintained using modern version control (e.g., GitHub) as a library of reusable algorithms. This role requires deep knowledge in specialized data science areas, particularly in recommendation systems, Natural Language Processing (NLP), Generative AI, and agentic workflows.
As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and Large Language Models (LLMs) to identify trends and provide highly scalable business solutions. You will be expected to own the end-to-end MLOps lifecycle-from ideation and research to deploying models into active production environments. This role must present complex insights and recommendations to non-technical audiences, explaining the benefits and impacts of the proposed solutions. In addition, Data Scientists collaborate tightly with IT, Staffing, and cross-functional business partners, requiring effective communication skills, relationship building, and a strong focus on understanding the overarching People Analytics ecosystem.
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:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in data science, advanced analytics, and building production-level ML systems
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in Python (including Pandas and NumPy) and version control utilizing Git/GitHub
  • Proficient running queries against large-scale databases (preferably with Google BigQuery, SQL, and GCP)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient with the end-to-end MLOps lifecycle, model deployment, and API serving (preferably with Kubeflow or MLflow)
  • Knowledgeable in Generative AI, LLM-powered agentic workflows, and recommendation systems

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

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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