1

Ge Data Scientist Jobs (NOW HIRING)

... the Life Sciences, IT, and Financial Services sectors, feel free to check us out at www ... Expertise on Data Modeling, Administration Configurations, replica management * Knowledge about ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

This role complements the Applied Data Scientist by owning the engineering foundations required to operationalize analytics and AI solutions. MAJOR DUTIES AND RESPONSIBILITIES Managing Managing the ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

This role complements the Applied Data Scientist by owning the engineering foundations required to operationalize analytics and AI solutions. MAJOR DUTIES AND RESPONSIBILITIES Managing Managing the ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

This role complements the Applied Data Scientist by owning the engineering foundations required to operationalize analytics and AI solutions. MAJOR DUTIES AND RESPONSIBILITIES Managing Managing 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 ...

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Arkansas City, AR · On-site

$106K - $128K/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 ...

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 ...

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

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

Lead Engineer - Electrical Systems

Evendale, OH · On-site

$153K - $160K/yr

Summary GE Aviation is seeking an Electrical Component Lead Engineer for our Controls Team. The ... Document technical data generated by the assigned project consistent with engineering policies and ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... GE Predix platform Essential functions: Architect, Design and develop new systems and tools to ... Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 ...

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 21-40

Ge Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do ge data scientist jobs pay per year?

As of Aug 12, 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 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.

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 cities are hiring for Ge Data Scientist jobs? Cities with the most 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 Ge Data Scientist jobs? States with the most job openings for Ge Data Scientist jobs include:
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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal Research Scientist, Database Systems

MongoDB

New York, NY • On-site

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

The mission of MongoDB Research is to advance the state of the art in database systems by conducting fundamental and applied research that directly impacts MongoDB's products. Our goal is to foster innovation that benefits MongoDB by addressing critical challenges in data management, performance optimization, security, scalability, and usability. Through collaboration, publication, and active engagement with leading research institutions, we strive to shape the future of database technology and ensure MongoDB remains at the forefront of innovation.
We seek an exceptional researcher specializing in database systems with particular expertise in database architecture, including query optimization, storage engines, indexing, and multicore processing. The ideal candidate will demonstrate a strong track record in designing and implementing highly performant database systems.
This role can be in-office, flexible, or based remotely in North America.
Responsibilities
  • Conduct innovative research in query optimization, indexing methods, storage engines, and performance optimization
  • Design, prototype, and empirically evaluate novel database systems and architectures that leverage modern hardware features, such as SIMD parallelism, GPU acceleration, and multicore processing
  • Collaborate closely with our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
  • Publish influential research outcomes in top-tier database and systems conferences and journals (e.g., VLDB, SIGMOD)
  • Build a Database Systems research group with a critical mass of 2-3 researchers over the next 1-2 years
  • Mentor junior researchers, fostering a collaborative and productive research environment
Qualifications
  • Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in database systems
  • 12+ years of experience applying computer science concepts to large scale software development problems, including databases and distributed systems
  • Proven track record of impactful research publications in top-tier database and systems conferences and journals
  • Demonstrated expertise in query optimization, efficient data structures, and high-performance database architectures
  • Strong background in performance engineering, hardware-aware optimizations, and database engine internals
  • Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
  • Excellent analytical, communication, and interpersonal skills, with the ability to collaborate across teams
Success metrics
  • Within the first three months, you will have established working relationships with key stakeholders across Product and Engineering
  • Within the first six months, you will have completed a review of the company's database roadmap and identified opportunities for research impact. You will have established a clear research agenda for the team
  • Within the first twelve months, you will have successfully attracted and interviewed researchers to join the team
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform-the most widely available, globally distributed database on the market-helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying on MongoDB for their most important applications, we're powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.
To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1263126935
MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB's base salary range for this role in the U.S. is:
$203,000-$399,000 USD