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Ge Data Scientist Jobs (NOW HIRING)

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... About the Role At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by ...

General Electric Company

AI/ML Software Engineer

$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 ...

GE Aerospace

Sr AI Data Engineer

$145K/yr

Bachelor's degree in Computer Science, Engineering, or a STEM field * A minimum of three years of ... GE Aerospace offers comprehensive benefits and programs to support your health and, along with ...

Gehc

Clinical Scientist - MR

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 ...

GE HealthCare

Principal Product Manager

Bellevue, NE · On-site

$174K - $262K/yr

Track record of partnering with engineering, data science, UX, or other technical teams to deliver ... GE HealthCare offers a competitive benefits package, including not but limited to medical, dental ...

Alembic

Senior Field Scientist

San Francisco, CA · On-site

$160K - $185K/yr

Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity * Apply rigorous analytical methodologies to prepare ...

GE HealthCare

MSL Cardiology

Communication is consistent with bidirectional scientific exchange; encompassing data dissemination ... GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to ...

GE HealthCare

MSL Cardiology

Communication is consistent with bidirectional scientific exchange; encompassing data dissemination ... GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to ...

GE

Global Clinical Training Leader, MR

Waukesha, WI · On-site

GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission ... Experience communicating scientific data through presentations, posters, publications, or other ...

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production ... Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field from ...

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Ge Data Scientist information

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$122.7K

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How much do ge data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for 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 a GE data scientist?

A GE Data Scientist is responsible for analyzing large datasets to uncover insights, build predictive models, and support data-driven decision-making within General Electric. They work with advanced analytics, machine learning, and statistical techniques to optimize operations, improve efficiency, and drive innovation. This role often involves collaborating with engineers, business leaders, and software developers to develop data solutions that impact various GE business units.

What does a GE data scientist do?

As a GE Data Scientist, you might work on predictive analytics for industrial equipment, develop machine learning models to optimize manufacturing processes, or create data-driven solutions that support operational efficiency across various GE business units. Your daily responsibilities could include data collection and cleaning, statistical modeling, collaborating with engineers and business stakeholders, and presenting findings to both technical and non-technical audiences. Projects often involve working in interdisciplinary teams, leveraging GE’s Industrial Internet of Things (IIoT) data and proprietary technology platforms. This dynamic environment provides opportunities to impact real-world outcomes and contribute to GE’s digital transformation.

What are the key skills and qualifications needed to thrive as a GE data scientist?

To thrive as a GE Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and relevant domain knowledge, often supported by an advanced degree in data science, computer science, or engineering. Proficiency in programming languages like Python or R, experience with big data platforms (e.g., Hadoop, Spark), and familiarity with GE's digital tools and analytics platforms are typically required. Excellent problem-solving, communication, and collaboration skills help data scientists translate complex insights into actionable business recommendations. These skills are crucial for delivering impactful solutions in a tech-driven, team-oriented, and innovation-focused environment such as GE.

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Ge Data Scientist jobs near you
Infographic showing various Ge Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Strategic Data Analytics Manager

Tokai Carbon GE LLC

Charlotte, NC • On-site

Full-time

Posted 5 days ago

Job description

Strategic Data Analytics Manager. Tokai Carbon GE LLC. Charlotte, NC. Must work on-site at Charlotte, NC company location 4 days per week, and may telecommute (work from home) within commuting distance of Charlotte site 1 day per week. Manage major projects in collaboration with the engineering and IT departments for data acquisition and report automation. Share actionable insights with the management team through both ad-hoc reporting and building dashboards. Work directly with the Management Committee and plant engineering to set up systems that use technical data to drive better decision-making at all levels of the organization. Develop systems designed to extract data from manufacturing equipment for the purpose of increasing utilization and technical performance of the equipment and meeting more stringent manufacturing specifications. Design tools to enable our stakeholders to access self-service analytics & pre-packaged datasets. Analyze large and complex data sets with the ability to draw conclusions and provide meaningful insights to the Management Committee. Build out an extensive network within the organization that will be leveraged to influence outcomes and drive to achieve company results. Design and develop software for commercial use that is utilized to achieve higher quality standards in our manufacturing processes. Explore alternative datasets to enrich & expand existing analytics. Work M-F, 8a - 5p EST, hours may flex as needed to support business needs. Supervise one (1) subordinate employee (Data Analyst) and indirectly oversee other engineers in the plants.

Requires a Master's or Bachelor's degree in Data Analytics, Business Analytics, Engineering, Data Science, or related field or foreign equivalent. Requires with Master's three (3) years or with Bachelor's five (5) years of project management and process design experience to include (with Master's 3 years, or with Bachelor's 5 years): using data visualization standards and techniques to visually summarize data and insights; data analytics or a related field (such as Business Analytics, Engineering, or Data Science); data analysis tools and software including SQL, R or Python, and Crystal Reports or Power BI; experience in a managerial or leadership role; two (2) years (with Master's or Bachelor's): manufacturing data and systems (ERP and MES); Lean Manufacturing and Six Sigma methodologies. Requires 30 – 35% US travel to plants to assist with projects as needed, attend trainings and company business meetings. Apply: Send resume to: https://www.tokaicarbonusa.com/company/careers/ and reference #118115.

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