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Full Time Ge Data Scientist Jobs (NOW HIRING)

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Willingness to work full time in a hybrid work environment in the Washington DC area. * Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science ...

Carnegie Mellon University

Data Scientist

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Opportunity JOB SUMMARY This is a full-time, one-year term appointment with the ... The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

  • Medical

  • Retirement

  • PTO

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS - Redstone Arsenal - Huntsville, AL 35808 US (Primary) For more than 30 years, ERC has been ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

ManTech International

Data Scientist

Patuxent River, MD · On-site

$141K - $236K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This is a full-time onsite position that will support MANTECH's Data and AI Practice . As a Data Scientist on our team, you will play a key role in developing advanced Dashboard Analytics, showcasing ...

Carnegie Mellon University

Data Scientist

Pittsburgh, PA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Carnegie Mellon University

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Opportunity JOB SUMMARY This is a full-time, one-year term appointment with the ... The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ...

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Showing results 41-60

All JobsGe Data Scientist JobsFull Time Ge Data Scientist Jobs

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 Aug 12, 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?

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:
Full Time Ge Data Scientist jobs near you

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • On-site

Full-time

Re-posted 22 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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