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Overnight Ge Data Scientist Jobs (NOW HIRING)

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 ...

AI/ML Software Engineer

Evendale, OH · On-site

$95K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

CT Technologist

Atlanta, GA · On-site

$3.0K/wk

... overnight * GE CT Platforms: * Legacy GE scanners * GE Revolution CT scanner platform * EPIC ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

CT Technologist

Atlanta, GA · On-site

$3.0K/wk

... overnight * GE CT Platforms: * Legacy GE scanners * GE Revolution CT scanner platform * EPIC ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

Responsible for analyzing and preparing the data needed for data science based outcomes. Also ... S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment ...

In close partnership with Magnetic Resonance (MR) clinical and academic partners - as well as GE ... and data. * Support customer satisfaction through proactive communication, observation, and ...

NY · On-site

$131.70 - $219.30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Summary As a Principal Scientist in the AI - Computer Vision - Robotics - Software lab in GE ... data for IP patent processes. * Foster and grow relationships with colleagues at GE Vernova ...

Showing results 41-60

Overnight Ge Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 14, 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:

Senior Data Scientist, Delivery

Home Depot

Atlanta, GA • On-site

Full-time

Posted 11 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,427 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:
We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience solutions for Home Depot. If you are tech-savvy, deeply passionate about Data-driven solutions, AI/ML tools and platforms as well as curious about understanding the complex processes behind important business decisions - please apply. The more specific technical requirements are mentioned below:
🔹 ML Depth - Solid hands-on experience with tree-based ranking and classification models (XGBoost, etc.) is table stakes, but practitioner-level depth with NLP, BERT-family embedding models, similarity search, DNNs or building multi-modal models will have an edge and be needed in the work. Expertise with these advanced models not needed, will get chance and time to learn on the job - but a headstart will help.
🔹 Deployment Mindset - You have taken models beyond notebooks - pipelines, non-prod deployments, and experience on Vertex AI pipelines and custom jobs.
🔹 Experimentation familiarity - You are not new to designing and reading an A/B test or other methods for measurement.
🔹 Familiarity with LLM/Agentic workflows - Recent hands-on experience with LLM pipelines, RAG, or working with LLMs programmatically in the last 12 months. Experience with Agentic workflows will stand-out during the interview process.
Key Responsibilities:
  • 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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
  • 30% Project Management & Team Support - Work with project teams and business partners to determine project goals; 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
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position 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:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
  • 6+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient 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)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated proficiency 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:
  • 5

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
  • 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
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • 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
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

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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

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