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Overnight Data Scientist Jobs (NOW HIRING)

The Data Scientist is responsible for supporting data science initiatives that drive business ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

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 ...

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 ...

... 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 ...

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Overnight Data Scientist information

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$46K

$165K

$243.5K

How much do overnight data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for overnight 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 is an overnight data scientist?

An Overnight Data Scientist is a professional who works late-night or overnight shifts to analyze data, build models, and generate reports outside of typical business hours. This role is essential in industries that operate around the clock or require data processing to be completed by the start of the next business day. Overnight Data Scientists may collaborate with global teams, address urgent data issues, and ensure continuous data pipeline operations. Their responsibilities often mirror those of daytime data scientists but are tailored toward tasks that benefit from overnight completion.

What skills and qualifications are needed to thrive as an overnight data scientist?

To thrive as an Overnight Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, typically supported by a degree in a quantitative field. Familiarity with machine learning libraries, big data platforms (like Hadoop or Spark), and cloud services (such as AWS or Azure) is commonly required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours are key soft skills for this role. These competencies are essential to deliver reliable insights, maintain data pipelines, and ensure critical analyses are completed without direct supervision during overnight shifts.

What unique challenges do overnight data scientists face, and how can they collaborate effectively with daytime teams?

Overnight data scientists often work during non-standard hours, which can present challenges such as limited real-time communication with colleagues and delayed feedback from stakeholders. To overcome these, it's important to document work thoroughly, use collaborative tools for updates, and schedule regular check-ins with daytime teams. Many organizations implement overlapping hours or handoff protocols to ensure smooth transitions and maintain project momentum. This structure not only supports effective collaboration but also helps overnight data scientists stay aligned with broader team objectives.

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

AspectOvernight Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some coding skillsBachelor's in Data Analysis, Statistics, or related field; may have certifications
Work EnvironmentTypically in tech companies, finance, or healthcare; may work night shiftsIn offices, retail, or corporate settings; standard daytime hours
Employer & Industry UsageUsed in industries requiring 24/7 data monitoring and analysisCommon in business, marketing, and operations for routine data reporting

The Overnight Data Scientist focuses on advanced data modeling and machine learning during night shifts, often requiring programming skills and specialized knowledge. In contrast, Data Analysts primarily handle data reporting and visualization during regular hours. Both roles are essential but differ in complexity, work hours, and technical requirements.

More about Overnight Data Scientist jobs

What cities are hiring for Overnight Data Scientist jobs?

Cities with the most Overnight Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Overnight Data Scientist jobs?

States with the most job openings for Overnight Data Scientist jobs include:

What are popular job titles related to Overnight Data Scientist jobs?

For Overnight Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Overnight Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees

Full-time

Re-posted 17 days ago


Key responsibilities

  • Design and develop algorithms and models to generate business insights from large datasets.

  • Effectively communicate insights and recommendations to technical and non-technical audiences.

  • Collaborate with business partners and cross-functional teams to determine project goals.


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,513 frontline employees who took The Breakroom Quiz


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 customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient utilizing statistical techniques to identify key insights that help solve business problems
  • Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated experience in predictive modeling, 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

What Home Depot employees say

Pay

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Hours and flexibility

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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, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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