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Part Time Ge Data Scientist Jobs (NOW HIRING)

Computech Corporation

Data Scientist

Boise, ID · On-site

Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Share Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$112K - $257K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

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

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

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

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All JobsGe Data Scientist JobsPart Time Ge Data Scientist Jobs

Part Time Ge Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jun 8, 2026, the average yearly pay for part 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 is a part time GE Data Scientist?

A part time GE Data Scientist is a professional who works on a flexible or reduced schedule, typically less than 40 hours per week, analyzing and interpreting complex data for General Electric (GE). Their primary role involves using statistical methods, machine learning, and data visualization to help GE make data-driven decisions, improve products, and optimize processes. Part time positions offer more flexibility, which can be ideal for students, parents, or individuals seeking work-life balance while still contributing valuable expertise to GE's projects.

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

AspectPart Time Ge Data ScientistPart Time Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; familiarity with GIS toolsBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentProjects involving spatial data, GIS software, and machine learning modelsData interpretation, reporting, and visualization across various industries
Employer & Industry UsageTech, environmental agencies, urban planningBusiness, marketing, finance, healthcare

While both roles involve data analysis, a Part Time Ge Data Scientist specializes in spatial and geographic data, often using GIS tools and machine learning. A Part Time Data Analyst focuses on interpreting and visualizing data for business insights. The roles differ mainly in the type of data handled and the tools used, though they share foundational data skills.

How do part-time GE Data Scientists typically collaborate with full-time team members and manage project continuity?

Part-time GE Data Scientists often work closely with full-time colleagues through regular meetings, shared documentation, and collaborative tools to stay aligned on project goals and progress. They typically focus on specific tasks or phases within larger projects and maintain clear communication to ensure seamless hand-offs. Flexibility in scheduling and strong organizational skills are key to managing workload and maintaining project continuity, especially when balancing multiple assignments or working across time zones.

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

To thrive as a Part Time GE Data Scientist, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in computer science, engineering, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as experience with GE’s industrial data systems, is often required. Excellent problem-solving skills, adaptability, and effective communication help you translate complex data insights to stakeholders and collaborate efficiently on a flexible schedule. These skills and qualities are essential for delivering actionable analytics and supporting data-driven decision-making within GE’s dynamic and innovative environment.
What cities are hiring for Part Time Ge Data Scientist jobs? Cities with the most Part 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 Part Time Ge Data Scientist jobs? States with the most job openings for Part Time Ge Data Scientist jobs include:
Part Time Ge Data Scientist jobs near you
Data Scientist

Data Scientist

Computech Corporation

Boise, ID • On-site

Part-time

Posted 13 days ago

Job description

Company Description

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability.

Job Description

Position:Data Scientist

Location: Boise, Idaho

Duration: 3 years on a part time basis (25% utilization)


Required Skills

    * Should have worked in healthcare industry either at a provider, payer or HIE

    * Expert in statistical techniques for data analysis using R

    * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include

    * Provider Performance

    * Patient engagement

    * Cost and utilization prediction

    * Prefer candidates with relevant certification

Qualifications

Position:Data Scientist

Location: Boise, Idaho

Duration: 3 years on a part time basis (25% utilization)

Required Skills

    * Should have worked in healthcare industry either at a provider, payer or HIE

    * Expert in statistical techniques for data analysis using R

    * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include

    * Provider Performance

    * Patient engagement

    * Cost and utilization prediction

    * Prefer candidates with relevant certification

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply