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Part Time Ge Data Scientist Jobs in Ohio (NOW HIRING)

DATA SCIENTIST

Heath, OH · On-site

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$26/hr

  • Medical

  • PTO

Information Technology, Data Science, Computer Science or other related fields * Must attach a copy of college unofficial transcript * Ability to work part-time (20-29 hours/week) * Prior BMW Group ...

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Part Time Ge Data Scientist information

Is it possible to work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist. Many companies offer part-time or flexible roles that involve tasks such as data analysis, modeling, and using tools like Python or R, often requiring strong analytical skills and relevant experience. Part-time positions can be suitable for those seeking work-life balance or additional income while developing their skills.

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?

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 are the most commonly searched types of Ge Data Scientist jobs in Ohio? The most popular types of Ge Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Part Time Ge Data Scientist jobs? Cities in Ohio with the most Part Time Ge Data Scientist job openings:

$49K/yr

Full-time, Part-time

Re-posted 7 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER