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Overnight Data Scientist Jobs (NOW HIRING)

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

The Lead 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 ...

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

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

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

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

CBRE

Data Operations & Domain Manager

New York, NY · On-site

Review overnight data quality dashboards and exception reports, triaging open Asset DQIs, reaching ... You have a bachelor's degree, or equivalent professional experience, in Data Science/ Analytics ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

... overnight data collection and patient monitoring activities. * Thrive in a highly collaborative academic environment that values teamwork, innovation, and scientific excellence. What You'll Bring:

Duke University

Postdoctoral Associate

Durham, NC · On-site

... overnight data collection and patient monitoring activities. * Thrive in a highly collaborative academic environment that values teamwork, innovation, and scientific excellence. What You'll Bring:

Oats Overnight

Food Scientist

Phoenix, AZ · On-site

Oats Overnight is on a mission to build a generational CPG brand. Since 2016, our high-protein ... Develop data-driven ingredient specifications and collaborate with suppliers to ensure consistency ...

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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

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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:

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Overnight Data Scientist jobs near you
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.

Lead Data Scientist

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees
Learn more about Home Depotexternal

Full-time

Re-posted 18 days ago

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 Lead Data Scientist is 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 by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.
Key Responsibilities:
  • 30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 25% Project Management & Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 25% Technical Exploration & Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Define best practices and develop clear vision for data analysis and model productionalization; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP

Direct Manager/Direct Reports:
  • This position typically reports to manager or above
  • This position has 0 Direct Reports and leads/manages projects

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.
  • Demonstrated expertise in predictive modeling, data mining and data analysis
  • Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems

Preferred Qualifications:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 10+ years of experience in business intelligence and analytics
  • Expertise in a modern scripting language (preferably Python)
  • Expertise running queries against data (preferably with Google BigQuery or SQL)
  • Advanced knowledge of Microsoft Office Suite
  • Expertise with data visualization software (preferably Tableau)
  • Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP

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:
  • 10

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
  • 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
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
  • Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

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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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