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Overnight Ge Data Scientist Jobs (NOW HIRING)

GE HealthCare

AI Scientist

Bellevue, WA · On-site

GE HealthCare is committed to bringing AI and cloud-based solutions for customers in the healthcare ... Python, C++) • Experience with high-dimensional imaging data and waveform/time-series data.

Gehc

AI Scientist

North East, PA

... data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our ... Our Science & Technology organization is harnessing the power of technology to make healthcare more ...

Gehc

AI Scientist

North East, PA · On-site

... data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our ... Our Science & Technology organization is harnessing the power of technology to make healthcare more ...

Gehc

AI Scientist

North East, PA · On-site

... data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our ... Our Science & Technology organization is harnessing the power of technology to make healthcare more ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

The Senior 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, Online

Atlanta, GA · On-site

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 ...

Home Depot

Sr. Data Scientist, Pro CX

Atlanta, GA · On-site

The Senior Data Scientist will be a key architect in building next-generation agentic systems ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

GE Aerospace

AI/ML Software Engineer

Jackson, MS

$95K - $140K/yr

Summary This role is a hybrid between an AI engineer, data scientist, and software developer ... GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job ...

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Overnight Ge Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do overnight ge data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for overnight ge data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

AspectOvernight Ge Data ScientistGe Data Scientist
Work HoursTypically overnight shifts, 10 PM - 6 AMStandard daytime hours, 9 AM - 5 PM
Work EnvironmentData centers, labs, or remote during night shiftsOffice or remote during regular hours
CredentialsSame as Ge Data Scientist: degree in data science, statistics, or related fieldSame as Overnight Ge Data Scientist
Industry UsageUsed in industries requiring 24/7 data monitoring, like energy or telecommunicationsCommon in tech, finance, and research sectors

Overall, Overnight Ge Data Scientists work during night shifts, often in specialized environments, while Ge Data Scientists work standard hours. Both roles require similar skills and qualifications but differ mainly in work schedule and environment.

What cities are hiring for Overnight Ge Data Scientist jobs? Cities with the most Overnight Ge Data Scientist job openings:
What are the most commonly searched types of Ge Data Scientist jobs? The most popular types of Ge Data Scientist jobs are:
What states have the most Overnight Ge Data Scientist jobs? States with the most job openings for Overnight Ge Data Scientist jobs include:
Overnight Ge Data Scientist jobs near you
Data Scientist - Space Intelligence

Data Scientist - Space Intelligence

Home Depot

Atlanta, GA • On-site

Full-time

Posted 18 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,266 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 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

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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