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Part Time Data Scientist Machine Learning Jobs in Pennsylvania

The Pennsylvania State University

$17/hr

... is seeking applicants for part-time job of Data Extraction Programming, an upper-level ... Self-directed learning and resourcefulness are essential. Generative AI may be used strategically ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

The Pennsylvania State University

... Science-funded project called: "The Biomedical Data Translator." These programmers will develop the ... Implement statistical and machine learning techniques to augment graph edge properties in ARAX;

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Part Time Data Scientist Machine Learning information

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

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

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Pennsylvania?

The most popular types of Data Scientist Machine Learning jobs in Pennsylvania are:

Part Time Data Scientist Machine Learning jobs near you

Part-Time Data Extraction Programming

The Pennsylvania State University

$17/hr

Part-time

Re-posted 28 days ago

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified individual with interest in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text recognized. Data will be stored in a CSV file; the project already has defined possible data fields.

Job duties to include:

  • Desirable skills include coding experience in Python and/or Java (required), creative problem solving, ability to scrutinize own work and catch errors, experience annotating code, and ability to communicate work progress to supervisor with limited programming experience. While source materials generally present information systematically, the code must account for routine deviations and errors in the source materials.

Requirements, qualifications, and/or competencies:

  • Candidate will work independently with access to an experienced programmer for consultation when needed. Self-directed learning and resourcefulness are essential. Generative AI may be used strategically in consultation with supervisor but should not substitute for coding skills. Some familiarity with Amish and Mennonites is a plus but not required.
  • Work is primarily remote and flexible. Candidate must be committed to working in a distraction-free environment. Occasional exceptions to remote work include: (1) candidate may be required periodically to digitize printed population registries using equipment at University Park campus, and (2) candidate will occasionally meet in-person with supervisor, even as Zoom, telephone, and email will be the primary modes of communication.
  • Hours must be completed by August 17, 2026. While weekly hours are flexible, the candidate must work no fewer than four hours any given week. The position will be housed in Penn State's Population Research Institute and supervised by postdoctoral scholar Dr. CoryAnderson.
  • Position open immediately, and applications will be received until the position is filled. Please submit a list of programming-related experience, list of relevant coursework and final grades, and one reference who can speak to your programming experience and potential (e.g. advisor, instructor, or current/former employer).

Compensation:

The starting rate for this job is $17/hr.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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