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Full Time Ge Data Scientist Jobs (NOW HIRING)

$29.33 - $41.06/hr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900130 URMC Finance Decision ... Creates and implements data science solutions to support analytical efforts and expand dashboard ...

... 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 ...

... 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 ...

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Citizen Employment Type: FULL_TIME

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... UNAVAILABLEEmployment Type: FULL_TIME

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This is a full-time opportunity at Petterson Space Force Base (PSFB), CO. ****Contingent Upon Contract Award**** * Demonstrate experience and knowledge of computer science concepts, data architecture ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

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Full Time Ge Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time ge data scientist jobs pay per year?

As of Jul 22, 2026, the average yearly pay for full time 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 some typical challenges a Full Time GE Data Scientist might face when working with large-scale industrial data?

A Full Time GE Data Scientist often works with massive datasets generated by industrial equipment, which can present challenges such as data quality issues, incomplete records, or inconsistent formats. Additionally, integrating data from multiple sources or legacy systems can be complex and time-consuming. Close collaboration with engineering, IT, and operations teams is essential to understand context and ensure accurate model development. Overcoming these challenges requires strong data wrangling skills, domain knowledge, and effective communication within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Full Time GE Data Scientist, and why are they important?

To thrive as a Full Time GE Data Scientist, you need a solid background in statistics, machine learning, and data analysis, typically supported by a degree in data science, computer science, or a related field. Expertise in programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with GE's industrial data systems are commonly required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams make candidates stand out. These skills enable data scientists to derive actionable insights from complex datasets, drive innovation, and support critical business decisions within GE's diverse industrial environment.

What does a Full Time GE Data Scientist do?

A Full Time GE Data Scientist is responsible for analyzing large datasets to extract valuable insights that inform business decisions at General Electric (GE). Their work typically involves developing statistical models, applying machine learning algorithms, and communicating findings to stakeholders across various departments. They collaborate with engineers, product managers, and IT professionals to support GE's digital transformation and drive innovation. The role also includes data preprocessing, visualization, and ensuring data quality and integrity. Full-time data scientists at GE often work on projects related to industrial analytics, predictive maintenance, and operational efficiency.

What is the difference between Full Time Ge Data Scientist vs Ge Data Analyst?

AspectFull Time Ge Data ScientistGe Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Geoscience, or related fields; experience with GIS and programmingBachelor's in Data Analysis, Geoscience, or related fields; proficiency in GIS tools and data visualization
Work EnvironmentResearch labs, energy companies, environmental agenciesMining companies, environmental consulting, government agencies
Employer & Industry UsageTech firms, energy, environmental sectorsMining, oil & gas, environmental consulting

Full Time Ge Data Scientists focus on advanced data modeling, machine learning, and predictive analytics using geospatial data, while Ge Data Analysts primarily handle data collection, visualization, and reporting. Both roles require strong GIS skills but differ in complexity and scope of data analysis tasks.

What cities are hiring for Full Time Ge Data Scientist jobs? Cities with the most Full Time 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 Full Time Ge Data Scientist jobs? States with the most job openings for Full Time Ge Data Scientist jobs include:
Data Scientist

$29.33 - $41.06/hr

Full-time

Posted 12 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 184 frontline employees who took The Breakroom Quiz

103rd of 560 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

135 Corporate Woods, Rochester, New York, United States of America, 14623

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

900130 URMC Finance Decision Support

Work Shift:

UR - Day (United States of America)

Range:

UR URG 110 H

Compensation Range:

$29.33 - $41.06

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

Participates in the design, implementation and dissemination of advanced analytics and data science projects. Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making. Supports the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with team members to solve complex problems, ensure robust, scalable analytics solutions and implement them efficiently and effectively across the enterprise.

ESSENTIAL FUNCTIONS

  • Works with senior team members to translate complex data into insights and compelling stories. Presents data models, analyses and visuals, including dynamic visuals such as dashboards, to internal and external stakeholders. Iterates and refines based on feedback.
  • Works with project leaders and end-users to understand project requirements. Understands underlying clinical and research requirements and formulates, designs and executes analytical solutions to support them.
  • Provides scalable solutions and collaborates on dissemination efforts. Creates and implements data science solutions to support analytical efforts and expand dashboard capabilities. Works with senior team members to develop and manage project plans. Executes and evolves project plans.
  • Develops preliminary analyses and prototypes. In collaboration with senior team members, analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods. Develops and implements robust, reproducible processes to prepare, extract and enrich a variety of structured and unstructured data sources.
  • Writes, tests and deploys queries and/or API connections to internal and external databases. Cleans and manipulates data so that it is in a usable format for others. Designs and builds data marts and data warehouses to support advanced reporting scenarios. Links data from multiple sources and stores it in a format that is easy to query.
  • Maintains current knowledge base and expertise relative to the technology and software used by related to the functional areas being supported.
  • Designs and develops prototypes of data models, ML pipelines, dashboards and reporting. Cultivates new data sources to offer insights and analyses needed for research and decision-making.
  • Other duties as assigned.


MINIMUM EDUCATION & EXPERIENCE

  • Bachelor's degree in Data Science, Math, Information Science or related field and 1 year of relevant experience required
  • Master's degree preferred
  • Or equivalent combination of education and experience
  • Considerable experience with relational databases preferred


KNOWLEDGE, SKILLS AND ABILITIES

  • Strong attention to detail, ability to develop creative solutions to complex problems and strong critical thinking skills required
  • Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required
  • Ability to work independently and successfully complete assigned tasks on time with limited oversight required
  • Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required
  • Proficiency with Python (or R), including common machine/deep learning libraries and their implementation required
  • Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI preferred

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status,or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.


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