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Full Time Ge Data Scientist Jobs (NOW HIRING)

Ability to work on-site in Springfield, VA full-time * Proficiency with Python * Experience meeting ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, or related ...

This full-time in-person position is based outside of Reno, Nevada. #KS Responsibilities The position of Master Data Scientist III at the Naval Aviation Warfighting Development Center (NAWDC, parent ...

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 ...

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 ...

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering ...

Data Scientist

Boulder, CO · On-site

$105K - $130K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

Data Scientist

Lehi, UT

$120K - $145K/yr

T. is actively seeking multiple mid-level Data Scientists for immediate full-time opportunities with our industry leading client. Are you on the lookout for a unique career opportunity that offers ...

Data Scientist

Annandale, VA · On-site

$112K - $257K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This candidate will serve as a Data Scientist in NYC DOT's Bike Share & Shared Mobility unit, which ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

This candidate will serve as a Data Scientist in NYC DOT's Bike Share & Shared Mobility unit, which ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

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 ...

Data Scientist

Laurel, MD · On-site

$112K - $257K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Data Scientist will support predictive analytics, model development and help inform ... Employment Type: FULL_TIME

... 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 ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

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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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 Jun 9, 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

$112K - $257K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Data Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 4+ years of experience using data science programming languages, such as Python or R
  • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
  • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
  • Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
  • Ability to generate data visualizations with python libraries such as Tkinter or Streamlit
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Nice If You Have:
  • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools associated with these disciplines
  • Experience in programming with Java
  • Experience with intelligence or operations analysis in the DoD or Intelligence Community
  • Knowledge of DevOps, including CI/CD pipelines and Jenkins
  • CompTIA Security+ certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914